Input Data Used 151 04:35 Wednesday, December 13, 2006 Obs UTL ASL SPA AVS ALF CPM CSM TYPE 1 7.87 1790 0.1375 4.68 0.591 2.258 1.333 1 2 9.50 2515 0.3546 4.83 0.488 2.275 1.111 1 3 7.91 1350 0.1920 4.42 0.412 2.341 0.965 1 4 13.30 3607 0.3390 5.01 0.397 2.357 0.935 1 5 8.48 1963 0.1381 4.70 0.582 2.363 1.375 1 6 9.38 1123 0.1481 4.24 0.466 2.404 1.119 0 7 10.80 1576 0.1361 4.87 0.535 2.425 1.297 1 8 8.36 1912 0.3148 4.65 0.434 2.711 1.177 1 9 8.43 1584 0.1607 4.47 0.439 2.743 1.203 1 10 8.83 2377 0.3287 4.73 0.417 2.780 1.159 1 11 8.42 1495 0.3597 4.44 0.400 2.833 1.133 1 12 9.62 840 0.1390 4.25 0.410 2.846 1.166 0 13 8.71 1392 0.1148 4.44 0.478 2.906 1.390 1 14 8.44 871 0.1186 4.38 0.495 2.954 1.461 0 15 8.91 961 0.1236 4.16 0.476 2.962 1.411 0 16 6.84 1008 0.1150 4.13 0.539 2.971 1.600 0 17 9.00 845 0.1390 4.25 0.409 3.044 1.245 0 18 10.20 1692 0.3007 4.65 0.381 3.096 1.179 1 19 8.29 877 0.1060 4.37 0.486 3.140 1.528 0 20 8.09 1528 0.3522 4.32 0.287 3.306 0.949 1 21 9.47 1408 0.1345 4.70 0.504 3.306 1.662 1 22 7.70 1236 0.1221 4.28 0.455 3.311 1.507 1 23 9.57 863 0.1390 4.26 0.405 3.313 1.343 0 24 8.35 1031 0.1365 4.22 0.422 3.392 1.431 0 25 7.27 1416 0.1145 4.38 0.476 3.437 1.636 1 26 7.52 975 0.2025 3.96 0.426 3.462 1.476 0 27 9.56 2189 0.3279 4.62 0.349 3.527 1.230 1 28 7.94 949 0.1488 4.00 0.394 3.689 1.452 0 29 7.55 1164 0.1270 4.22 0.452 3.760 1.700 0 30 10.60 2780 0.1282 4.65 0.425 3.856 1.637 1 31 10.80 1518 0.1356 4.43 0.362 3.959 1.432 1 32 6.31 823 0.0943 4.06 0.541 4.024 2.176 0 33 5.65 821 0.1290 4.01 0.378 4.737 1.791 0 Regression models 152 04:35 Wednesday, December 13, 2006 The REG Procedure Model: im2 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 2.91112 2.91112 11.26 0.0021 Error 31 8.01756 0.25863 Corrected Total 32 10.92867 Root MSE 0.50856 R-Square 0.2664 Dependent Mean 3.10570 Adj R-Sq 0.2427 Coeff Var 16.37499 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 2.56212 0.18463 13.88 <.0001 0 IPM 1 44.41024 13.23712 3.35 0.0021 0.51611 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 IPM 1 1.00000 Regression models 153 04:35 Wednesday, December 13, 2006 The REG Procedure Model: polystep Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable ALF2 Entered: R-Square = 0.1411 and C(p) = 37.0633 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.54206 1.54206 5.09 0.0312 Error 31 9.38661 0.30279 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 3.83832 0.33848 38.93748 128.59 <.0001 ALF2 -3.60773 1.59866 1.54206 5.09 0.0312 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable SPA Entered: R-Square = 0.4323 and C(p) = 16.6664 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 4.72433 2.36216 11.42 0.0002 Error 30 6.20434 0.20681 Corrected Total 32 10.92867 Regression models 154 04:35 Wednesday, December 13, 2006 The REG Procedure Model: polystep Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 5.13637 0.43330 29.06044 140.52 <.0001 SPA -3.99083 1.01738 3.18227 15.39 0.0005 ALF2 -6.39206 1.49980 3.75654 18.16 0.0002 Bounds on condition number: 1.2886, 5.1545 -------------------------------------------------------------------------------- Stepwise Selection: Step 3 Variable UTL Entered: R-Square = 0.5438 and C(p) = 10.0880 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 5.94319 1.98106 11.52 <.0001 Error 29 4.98549 0.17191 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 6.31184 0.59242 19.51497 113.52 <.0001 UTL -0.14275 0.05361 1.21886 7.09 0.0125 SPA -3.32649 0.96054 2.06181 11.99 0.0017 ALF2 -6.65309 1.37093 4.04881 23.55 <.0001 Bounds on condition number: 1.3819, 11.401 -------------------------------------------------------------------------------- Stepwise Selection: Step 4 Variable SPA2 Entered: R-Square = 0.6156 and C(p) = 6.5671 Regression models 155 04:35 Wednesday, December 13, 2006 The REG Procedure Model: polystep Dependent Variable: CPM Stepwise Selection: Step 4 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 6.72762 1.68191 11.21 <.0001 Error 28 4.20105 0.15004 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 8.16289 0.98064 10.39609 69.29 <.0001 UTL -0.12737 0.05054 0.95314 6.35 0.0177 SPA -22.61294 8.48236 1.06630 7.11 0.0126 SPA2 41.01930 17.93943 0.78444 5.23 0.0300 ALF2 -7.37697 1.31928 4.69115 31.27 <.0001 Bounds on condition number: 123.47, 980.94 -------------------------------------------------------------------------------- Stepwise Selection: Step 5 Variable ASL Entered: R-Square = 0.6593 and C(p) = 5.2086 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 5 7.20481 1.44096 10.45 <.0001 Error 27 3.72386 0.13792 Corrected Total 32 10.92867 Regression models 156 04:35 Wednesday, December 13, 2006 The REG Procedure Model: polystep Dependent Variable: CPM Stepwise Selection: Step 5 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 8.72638 0.98781 10.76351 78.04 <.0001 UTL -0.19984 0.06217 1.42493 10.33 0.0034 ASL 0.00031885 0.00017142 0.47719 3.46 0.0738 SPA -23.32729 8.14170 1.13221 8.21 0.0080 SPA2 39.62995 17.21602 0.73082 5.30 0.0293 ALF2 -8.41778 1.38313 5.10857 37.04 <.0001 Bounds on condition number: 123.75, 1248.1 -------------------------------------------------------------------------------- Stepwise Selection: Step 6 Variable SPA4 Entered: R-Square = 0.6925 and C(p) = 4.6520 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 6 7.56807 1.26134 9.76 <.0001 Error 26 3.36060 0.12925 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 10.83106 1.57817 6.08803 47.10 <.0001 UTL -0.18680 0.06069 1.22452 9.47 0.0049 ASL 0.00028462 0.00016720 0.37456 2.90 0.1006 SPA -54.40759 20.14550 0.94277 7.29 0.0120 SPA2 155.42417 71.05451 0.61844 4.78 0.0379 ALF2 -8.46320 1.33924 5.16174 39.93 <.0001 SPA4 -369.53303 220.42966 0.36325 2.81 0.1056 Bounds on condition number: 2171.5, 20171 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1500 level. Regression models 157 04:35 Wednesday, December 13, 2006 The REG Procedure Model: polystep Dependent Variable: CPM Stepwise Selection: Step 6 No other variable met the 0.1500 significance level for entry into the model. Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 ALF2 1 0.1411 0.1411 37.0633 5.09 0.0312 2 SPA 2 0.2912 0.4323 16.6664 15.39 0.0005 3 UTL 3 0.1115 0.5438 10.0880 7.09 0.0125 4 SPA2 4 0.0718 0.6156 6.5671 5.23 0.0300 5 ASL 5 0.0437 0.6593 5.2086 3.46 0.0738 6 SPA4 6 0.0332 0.6925 4.6520 2.81 0.1056 Regression models 158 04:35 Wednesday, December 13, 2006 The REG Procedure Model: polystep Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 6 7.56807 1.26134 9.76 <.0001 Error 26 3.36060 0.12925 Corrected Total 32 10.92867 Root MSE 0.35952 R-Square 0.6925 Dependent Mean 3.10570 Adj R-Sq 0.6215 Coeff Var 11.57612 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 10.83106 1.57817 6.86 <.0001 0 UTL 1 -0.18680 0.06069 -3.08 0.0049 -0.46317 ASL 1 0.00028462 0.00016720 1.70 0.1006 0.31656 SPA 1 -54.40759 20.14550 -2.70 0.0120 -8.35113 SPA2 1 155.42417 71.05451 2.19 0.0379 11.08525 ALF2 1 -8.46320 1.33924 -6.32 <.0001 -0.88119 SPA4 1 -369.53303 220.42966 -1.68 0.1056 -3.53255 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 UTL 1 1.91461 ASL 1 2.92391 SPA 1 808.44555 SPA2 1 2171.50472 ALF2 1 1.64402 SPA4 1 375.43453 Regression models 159 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Air1A Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 7.48568 1.87142 15.22 <.0001 Error 28 3.44299 0.12296 Corrected Total 32 10.92867 Root MSE 0.35066 R-Square 0.6850 Dependent Mean 3.10570 Adj R-Sq 0.6400 Coeff Var 11.29093 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 18.36304 2.12013 8.66 <.0001 0 ASL 1 0.00025957 0.00014935 1.74 0.0932 0.28870 LUTL 1 -1.53398 0.47318 -3.24 0.0031 -0.43091 LFilled 1 -3.32224 0.50869 -6.53 <.0001 -2.08760 SPA 1 10.56039 1.97273 5.35 <.0001 1.62094 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ASL 1 2.45222 LUTL 1 1.57028 LFilled 1 9.08087 SPA 1 8.14888 Regression models 160 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Air1AxUTL Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 6.19340 2.06447 12.64 <.0001 Error 29 4.73527 0.16329 Corrected Total 32 10.92867 Root MSE 0.40409 R-Square 0.5667 Dependent Mean 3.10570 Adj R-Sq 0.5219 Coeff Var 13.01111 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 14.71642 2.07090 7.11 <.0001 0 ASL 1 0.00000105 0.00014551 0.01 0.9943 0.00116 LFilled 1 -3.13220 0.58228 -5.38 <.0001 -1.96819 SPA 1 10.06124 2.26635 4.44 0.0001 1.54432 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ASL 1 1.75304 LFilled 1 8.96028 SPA 1 8.09924 Regression models 161 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Air1B Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 7.26967 1.81742 13.91 <.0001 Error 28 3.65901 0.13068 Corrected Total 32 10.92867 Root MSE 0.36150 R-Square 0.6652 Dependent Mean 3.10570 Adj R-Sq 0.6174 Coeff Var 11.63974 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 11.07178 1.39090 7.96 <.0001 0 ASL 1 0.00032544 0.00015536 2.09 0.0454 0.36196 LUTL 1 -1.82354 0.49586 -3.68 0.0010 -0.51225 LFilled 1 -2.32779 0.36952 -6.30 <.0001 -1.46271 Lempty 1 1.21349 0.24120 5.03 <.0001 1.03654 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ASL 1 2.49707 LUTL 1 1.62262 LFilled 1 4.50900 Lempty 1 3.54991 Regression models 162 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Air1BxUTL Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 5.50236 1.83412 9.80 0.0001 Error 29 5.42631 0.18711 Corrected Total 32 10.92867 Root MSE 0.43257 R-Square 0.5035 Dependent Mean 3.10570 Adj R-Sq 0.4521 Coeff Var 13.92818 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 7.12972 1.06056 6.72 <.0001 0 ASL 1 0.00001427 0.00015592 0.09 0.9277 0.01587 LFilled 1 -2.03518 0.43180 -4.71 <.0001 -1.27885 Lempty 1 1.04023 0.28306 3.67 0.0010 0.88856 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ASL 1 1.75640 LFilled 1 4.29995 Lempty 1 3.41448 Regression models 163 04:35 Wednesday, December 13, 2006 The REG Procedure Model: m5xASL Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 6.04706 2.01569 11.97 <.0001 Error 29 4.88162 0.16833 Corrected Total 32 10.92867 Root MSE 0.41028 R-Square 0.5533 Dependent Mean 3.10570 Adj R-Sq 0.5071 Coeff Var 13.21063 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 7.72152 0.79762 9.68 <.0001 0 UTL 1 -0.13850 0.05299 -2.61 0.0141 -0.34342 SPA 1 -3.50357 0.96417 -3.63 0.0011 -0.53777 ALF 1 -6.20314 1.24891 -4.97 <.0001 -0.71045 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 UTL 1 1.12096 SPA 1 1.42195 ALF 1 1.32832 Regression models 164 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Short2 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 6.44137 2.14712 13.88 <.0001 Error 29 4.48730 0.15473 Corrected Total 32 10.92867 Root MSE 0.39336 R-Square 0.5894 Dependent Mean 3.10570 Adj R-Sq 0.5469 Coeff Var 12.66585 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 7.53589 0.84335 8.94 <.0001 0 LFilled 1 -1.96945 0.35001 -5.63 <.0001 -1.23754 Lempty 1 1.13608 0.26009 4.37 0.0001 0.97043 UTL 1 -0.12627 0.05122 -2.47 0.0198 -0.31310 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 LFilled 1 3.41649 Lempty 1 3.48604 UTL 1 1.13903 Regression models 165 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Short3 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 5.22071 1.74024 8.84 0.0003 Error 29 5.70796 0.19683 Corrected Total 32 10.92867 Root MSE 0.44365 R-Square 0.4777 Dependent Mean 3.10570 Adj R-Sq 0.4237 Coeff Var 14.28508 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 10.97059 1.64157 6.68 <.0001 0 LFilled 1 -1.87101 0.45046 -4.15 0.0003 -1.17569 Lpsize 1 1.47847 0.49845 2.97 0.0060 0.85453 UTL 1 -0.12451 0.05812 -2.14 0.0407 -0.30872 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 LFilled 1 4.44857 Lpsize 1 4.60851 UTL 1 1.15293 Regression models 166 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Long1 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 6.44137 2.14712 13.88 <.0001 Error 29 4.48730 0.15473 Corrected Total 32 10.92867 Root MSE 0.39336 R-Square 0.5894 Dependent Mean 3.10570 Adj R-Sq 0.5469 Coeff Var 12.66585 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 7.53589 0.84335 8.94 <.0001 0 LFilled 1 -1.96945 0.35001 -5.63 <.0001 -1.23754 Lempty 1 1.13608 0.26009 4.37 0.0001 0.97043 UTL 1 -0.12627 0.05122 -2.47 0.0198 -0.31310 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 LFilled 1 3.41649 Lempty 1 3.48604 UTL 1 1.13903 Regression models 167 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Long2 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 5.50079 2.75040 15.20 <.0001 Error 30 5.42788 0.18093 Corrected Total 32 10.92867 Root MSE 0.42536 R-Square 0.5033 Dependent Mean 3.10570 Adj R-Sq 0.4702 Coeff Var 13.69605 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 7.07907 0.88966 7.96 <.0001 0 LFilled 1 -2.01716 0.37790 -5.34 <.0001 -1.26753 Lempty 1 1.03895 0.27800 3.74 0.0008 0.88746 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 LFilled 1 3.40604 Lempty 1 3.40604 Regression models 168 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Long3 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 4.31727 2.15864 9.80 0.0005 Error 30 6.61140 0.22038 Corrected Total 32 10.92867 Root MSE 0.46945 R-Square 0.3950 Dependent Mean 3.10570 Adj R-Sq 0.3547 Coeff Var 15.11566 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 10.03470 1.67439 5.99 <.0001 0 LFilled 1 -1.86632 0.47664 -3.92 0.0005 -1.17274 Lpsize 1 1.27946 0.51820 2.47 0.0195 0.73951 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 LFilled 1 4.44847 Lpsize 1 4.44847 Regression models 169 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Bigstep Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable LFilled Entered: R-Square = 0.2721 and C(p) = 100.3621 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 2.97376 2.97376 11.59 0.0019 Error 31 7.95491 0.25661 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 6.67288 1.05158 10.33278 40.27 <.0001 LFilled -0.83014 0.24386 2.97376 11.59 0.0019 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable SPA Entered: R-Square = 0.5667 and C(p) = 50.0047 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 6.19340 3.09670 19.62 <.0001 Error 30 4.73528 0.15784 Corrected Total 32 10.92867 Regression models 170 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Bigstep Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 14.71244 1.96186 8.87680 56.24 <.0001 SPA 10.06085 2.22763 3.21963 20.40 <.0001 LFilled -3.13090 0.54414 5.22561 33.11 <.0001 Bounds on condition number: 8.0947, 32.379 -------------------------------------------------------------------------------- Stepwise Selection: Step 3 Variable LUTL Entered: R-Square = 0.6510 and C(p) = 37.0300 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 7.11424 2.37141 18.03 <.0001 Error 29 3.81444 0.13153 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 16.61252 1.92952 9.75004 74.13 <.0001 SPA 10.34927 2.03644 3.39711 25.83 <.0001 LUTL -1.09484 0.41378 0.92084 7.00 0.0130 LFilled -3.03705 0.49799 4.89205 37.19 <.0001 Bounds on condition number: 8.136, 52.13 -------------------------------------------------------------------------------- Stepwise Selection: Step 4 Variable ASL Entered: R-Square = 0.6850 and C(p) = 32.9896 Regression models 171 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Bigstep Dependent Variable: CPM Stepwise Selection: Step 4 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 7.48568 1.87142 15.22 <.0001 Error 28 3.44299 0.12296 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 18.36304 2.12013 9.22453 75.02 <.0001 ASL 0.00025957 0.00014935 0.37144 3.02 0.0932 SPA 10.56039 1.97273 3.52372 28.66 <.0001 LUTL -1.53398 0.47318 1.29228 10.51 0.0031 LFilled -3.32224 0.50869 5.24485 42.65 <.0001 Bounds on condition number: 9.0809, 85.009 -------------------------------------------------------------------------------- Stepwise Selection: Step 5 Variable Sempty Entered: R-Square = 0.7167 and C(p) = 29.3536 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 5 7.83226 1.56645 13.66 <.0001 Error 27 3.09641 0.11468 Corrected Total 32 10.92867 Regression models 172 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Bigstep Dependent Variable: CPM Stepwise Selection: Step 5 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 21.26732 2.64259 7.42782 64.77 <.0001 ASL 0.00027145 0.00014439 0.40531 3.53 0.0709 SPA 20.33279 5.93552 1.34577 11.73 0.0020 LUTL -1.64283 0.46124 1.45487 12.69 0.0014 LFilled -4.24812 0.72457 3.94209 34.37 <.0001 Sempty -0.00003497 0.00002012 0.34658 3.02 0.0935 Bounds on condition number: 79.097, 669.48 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1000 level. No other variable met the 0.1500 significance level for entry into the model. Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 LFilled 1 0.2721 0.2721 100.362 11.59 0.0019 2 SPA 2 0.2946 0.5667 50.0047 20.40 <.0001 3 LUTL 3 0.0843 0.6510 37.0300 7.00 0.0130 4 ASL 4 0.0340 0.6850 32.9896 3.02 0.0932 5 Sempty 5 0.0317 0.7167 29.3536 3.02 0.0935 Regression models 173 04:35 Wednesday, December 13, 2006 The REG Procedure Model: Bigstep Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 5 7.83226 1.56645 13.66 <.0001 Error 27 3.09641 0.11468 Corrected Total 32 10.92867 Root MSE 0.33865 R-Square 0.7167 Dependent Mean 3.10570 Adj R-Sq 0.6642 Coeff Var 10.90407 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 21.26732 2.64259 8.05 <.0001 0 ASL 1 0.00027145 0.00014439 1.88 0.0709 0.30191 SPA 1 20.33279 5.93552 3.43 0.0020 3.12092 LUTL 1 -1.64283 0.46124 -3.56 0.0014 -0.46148 LFilled 1 -4.24812 0.72457 -5.86 <.0001 -2.66939 Sempty 1 -0.00003497 0.00002012 -1.74 0.0935 -0.99131 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ASL 1 2.45772 SPA 1 79.09705 LUTL 1 1.59976 LFilled 1 19.75448 Sempty 1 30.98783 Regression models 174 04:35 Wednesday, December 13, 2006 The REG Procedure Model: model1 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 2.47601 2.47601 9.08 0.0051 Error 31 8.45266 0.27267 Corrected Total 32 10.92867 Root MSE 0.52217 R-Square 0.2266 Dependent Mean 3.10570 Adj R-Sq 0.2016 Coeff Var 16.81345 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.76180 0.23594 15.94 <.0001 0 AvgFilled 1 -0.00831 0.00276 -3.01 0.0051 -0.47598 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 AvgFilled 1 1.00000 Regression models 175 04:35 Wednesday, December 13, 2006 The REG Procedure Model: model2 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 3.21112 1.07037 4.02 0.0165 Error 29 7.71755 0.26612 Corrected Total 32 10.92867 Root MSE 0.51587 R-Square 0.2938 Dependent Mean 3.10570 Adj R-Sq 0.2208 Coeff Var 16.61046 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 4.71138 0.61747 7.63 <.0001 0 AvgFilled 1 -0.00860 0.00368 -2.34 0.0266 -0.49236 UTL 1 -0.13406 0.08214 -1.63 0.1134 -0.33241 ASL 1 0.00016451 0.00023135 0.71 0.4827 0.18297 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 AvgFilled 1 1.82505 UTL 1 1.70326 ASL 1 2.71906 Regression models 176 04:35 Wednesday, December 13, 2006 The REG Procedure Model: model3 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 2.62115 1.31057 4.73 0.0164 Error 30 8.30752 0.27692 Corrected Total 32 10.92867 Root MSE 0.52623 R-Square 0.2398 Dependent Mean 3.10570 Adj R-Sq 0.1892 Coeff Var 16.94401 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.75697 0.23787 15.79 <.0001 0 AvgFilled 1 -0.00711 0.00324 -2.20 0.0359 -0.40721 TYPE 1 -0.15626 0.21585 -0.72 0.4747 -0.13420 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 AvgFilled 1 1.35617 TYPE 1 1.35617 Regression models 177 04:35 Wednesday, December 13, 2006 The REG Procedure Model: model4 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 1.75946 0.87973 2.88 0.0719 Error 30 9.16922 0.30564 Corrected Total 32 10.92867 Root MSE 0.55285 R-Square 0.1610 Dependent Mean 3.10570 Adj R-Sq 0.1051 Coeff Var 17.80108 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 4.24160 0.62564 6.78 <.0001 0 UTL 1 -0.10100 0.08671 -1.16 0.2532 -0.25044 ASL 1 -0.00017388 0.00019330 -0.90 0.3755 -0.19340 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 UTL 1 1.65267 ASL 1 1.65267 Regression models 178 04:35 Wednesday, December 13, 2006 The REG Procedure Model: model5 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 6.57115 1.64279 10.56 <.0001 Error 28 4.35752 0.15563 Corrected Total 32 10.92867 Root MSE 0.39449 R-Square 0.6013 Dependent Mean 3.10570 Adj R-Sq 0.5443 Coeff Var 12.70228 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 8.59553 0.90278 9.52 <.0001 0 UTL 1 -0.21282 0.06509 -3.27 0.0029 -0.52768 ASL 1 0.00033277 0.00018133 1.84 0.0771 0.37011 SPA 1 -4.95030 1.21695 -4.07 0.0004 -0.75983 ALF 1 -7.21137 1.32056 -5.46 <.0001 -0.82592 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 UTL 1 1.82895 ASL 1 2.85642 SPA 1 2.45022 ALF 1 1.60637 Regression models 179 04:35 Wednesday, December 13, 2006 The REG Procedure Model: im1 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 5.91556 2.95778 17.70 <.0001 Error 30 5.01312 0.16710 Corrected Total 32 10.92867 Root MSE 0.40878 R-Square 0.5413 Dependent Mean 3.10570 Adj R-Sq 0.5107 Coeff Var 13.16237 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 -1.09325 0.72223 -1.51 0.1406 0 ISPA 1 0.20032 0.03843 5.21 <.0001 0.77291 IALF 1 1.26465 0.24005 5.27 <.0001 0.78110 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ISPA 1 1.43770 IALF 1 1.43770 Regression models 180 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmistep Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable IAVGF Entered: R-Square = 0.3253 and C(p) = 13.1862 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 3.55527 3.55527 14.95 0.0005 Error 31 7.37341 0.23785 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 2.03090 0.29067 11.61122 48.82 <.0001 IAVGF 74.51517 19.27356 3.55527 14.95 0.0005 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable IALF Entered: R-Square = 0.5518 and C(p) = 1.0251 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 6.03038 3.01519 18.47 <.0001 Error 30 4.89829 0.16328 Corrected Total 32 10.92867 Regression models 181 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmistep Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 0.04839 0.56327 0.00121 0.01 0.9321 IAVGF 86.96614 16.28578 4.65593 28.52 <.0001 IALF 0.78581 0.20183 2.47512 15.16 0.0005 Bounds on condition number: 1.0401, 4.1604 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1500 level. No other variable met the 0.1500 significance level for entry into the model. Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 IAVGF 1 0.3253 0.3253 13.1862 14.95 0.0005 2 IALF 2 0.2265 0.5518 1.0251 15.16 0.0005 Regression models 182 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmistep Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 6.03038 3.01519 18.47 <.0001 Error 30 4.89829 0.16328 Corrected Total 32 10.92867 Root MSE 0.40407 R-Square 0.5518 Dependent Mean 3.10570 Adj R-Sq 0.5219 Coeff Var 13.01075 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 0.04839 0.56327 0.09 0.9321 0 IAVGF 1 86.96614 16.28578 5.34 <.0001 0.66567 IALF 1 0.78581 0.20183 3.89 0.0005 0.48535 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 IAVGF 1 1.04010 IALF 1 1.04010 Regression models 183 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmviavgf Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 3.55527 3.55527 14.95 0.0005 Error 31 7.37341 0.23785 Corrected Total 32 10.92867 Root MSE 0.48770 R-Square 0.3253 Dependent Mean 3.10570 Adj R-Sq 0.3036 Coeff Var 15.70342 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 2.03090 0.29067 6.99 <.0001 0 IAVGF 1 74.51517 19.27356 3.87 0.0005 0.57036 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 IAVGF 1 1.00000 Regression models 184 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvispa Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.27772 1.27772 4.10 0.0515 Error 31 9.65095 0.31132 Corrected Total 32 10.92867 Root MSE 0.55796 R-Square 0.1169 Dependent Mean 3.10570 Adj R-Sq 0.0884 Coeff Var 17.96574 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 2.53175 0.29949 8.45 <.0001 0 ISPA 1 0.08862 0.04374 2.03 0.0515 0.34193 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ISPA 1 1.00000 Regression models 185 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmviasl Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.79788 1.79788 6.10 0.0192 Error 31 9.13080 0.29454 Corrected Total 32 10.92867 Root MSE 0.54272 R-Square 0.1645 Dependent Mean 3.10570 Adj R-Sq 0.1376 Coeff Var 17.47489 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 2.44197 0.28478 8.58 <.0001 0 IASL 1 838.79886 339.50924 2.47 0.0192 0.40560 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 IASL 1 1.00000 Regression models 186 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvialf Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.37446 1.37446 4.46 0.0429 Error 31 9.55422 0.30820 Corrected Total 32 10.92867 Root MSE 0.55516 R-Square 0.1258 Dependent Mean 3.10570 Adj R-Sq 0.0976 Coeff Var 17.87547 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 1.78833 0.63126 2.83 0.0080 0 IALF 1 0.57418 0.27189 2.11 0.0429 0.35464 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 IALF 1 1.00000 Regression models 187 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvutl Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.51212 1.51212 4.98 0.0330 Error 31 9.41655 0.30376 Corrected Total 32 10.92867 Root MSE 0.55114 R-Square 0.1384 Dependent Mean 3.10570 Adj R-Sq 0.1106 Coeff Var 17.74622 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 4.41344 0.59393 7.43 <.0001 0 UTL 1 -0.15002 0.06724 -2.23 0.0330 -0.37197 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 UTL 1 1.00000 Regression models 188 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvasl Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.34471 1.34471 4.35 0.0453 Error 31 9.58396 0.30916 Corrected Total 32 10.92867 Root MSE 0.55602 R-Square 0.1230 Dependent Mean 3.10570 Adj R-Sq 0.0948 Coeff Var 17.90328 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.56902 0.24233 14.73 <.0001 0 ASL 1 -0.00031539 0.00015122 -2.09 0.0453 -0.35078 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ASL 1 1.00000 Regression models 189 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvspa Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 0.96779 0.96779 3.01 0.0926 Error 31 9.96088 0.32132 Corrected Total 32 10.92867 Root MSE 0.56685 R-Square 0.0886 Dependent Mean 3.10570 Adj R-Sq 0.0592 Coeff Var 18.25194 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.46161 0.22758 15.21 <.0001 0 SPA 1 -1.93875 1.11712 -1.74 0.0926 -0.29758 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 SPA 1 1.00000 Regression models 190 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvavs Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 3.50944 3.50944 14.66 0.0006 Error 31 7.41923 0.23933 Corrected Total 32 10.92867 Root MSE 0.48921 R-Square 0.3211 Dependent Mean 3.10570 Adj R-Sq 0.2992 Coeff Var 15.75214 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 8.55115 1.42459 6.00 <.0001 0 AVS 1 -1.23268 0.32191 -3.83 0.0006 -0.56668 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 AVS 1 1.00000 Regression models 191 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvalf Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.52682 1.52682 5.03 0.0321 Error 31 9.40185 0.30329 Corrected Total 32 10.92867 Root MSE 0.55071 R-Square 0.1397 Dependent Mean 3.10570 Adj R-Sq 0.1120 Coeff Var 17.73237 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 4.56055 0.65546 6.96 <.0001 0 ALF 1 -3.26355 1.45453 -2.24 0.0321 -0.37378 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ALF 1 1.00000 Regression models 192 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvcsm Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 5.19192 5.19192 28.06 <.0001 Error 31 5.73676 0.18506 Corrected Total 32 10.92867 Root MSE 0.43018 R-Square 0.4751 Dependent Mean 3.10570 Adj R-Sq 0.4581 Coeff Var 13.85139 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 1.02130 0.40058 2.55 0.0160 0 CSM 1 1.52149 0.28725 5.30 <.0001 0.68926 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 CSM 1 1.00000 Regression models 193 04:35 Wednesday, December 13, 2006 The REG Procedure Model: cpmvtype Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.28490 1.28490 4.13 0.0508 Error 31 9.64377 0.31109 Corrected Total 32 10.92867 Root MSE 0.55775 R-Square 0.1176 Dependent Mean 3.10570 Adj R-Sq 0.0891 Coeff Var 17.95906 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.33557 0.14907 22.38 <.0001 0 TYPE 1 -0.39926 0.19645 -2.03 0.0508 -0.34289 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 TYPE 1 1.00000 Regression models 194 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx1 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable CSM Entered: R-Square = 0.4751 and C(p) = 568.3921 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 5.19192 5.19192 28.06 <.0001 Error 31 5.73676 0.18506 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 1.02130 0.40058 1.20287 6.50 0.0160 CSM 1.52149 0.28725 5.19192 28.06 <.0001 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable ALF Entered: R-Square = 0.9750 and C(p) = 1.4976 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 10.65501 5.32751 584.02 <.0001 Error 30 0.27366 0.00912 Corrected Total 32 10.92867 Regression models 195 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx1 Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 3.09277 0.12278 5.78805 634.51 <.0001 ALF -6.73085 0.27504 5.46309 598.89 <.0001 CSM 2.19965 0.06954 9.12819 1000.67 <.0001 Bounds on condition number: 1.1888, 4.7552 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1500 level. No other variable met the 0.1500 significance level for entry into the model. Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 CSM 1 0.4751 0.4751 568.392 28.06 <.0001 2 ALF 2 0.4999 0.9750 1.4976 598.89 <.0001 Regression models 196 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx1 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 10.65501 5.32751 584.02 <.0001 Error 30 0.27366 0.00912 Corrected Total 32 10.92867 Root MSE 0.09551 R-Square 0.9750 Dependent Mean 3.10570 Adj R-Sq 0.9733 Coeff Var 3.07531 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.09277 0.12278 25.19 <.0001 0 ALF 1 -6.73085 0.27504 -24.47 <.0001 -0.77089 CSM 1 2.19965 0.06954 31.63 <.0001 0.99647 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ALF 1 1.18880 CSM 1 1.18880 Regression models 197 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx2 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable CSM Entered: R-Square = 0.4751 and C(p) = 591.5651 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 5.19192 5.19192 28.06 <.0001 Error 31 5.73676 0.18506 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 1.02130 0.40058 1.20287 6.50 0.0160 CSM 1.52149 0.28725 5.19192 28.06 <.0001 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable ALF Entered: R-Square = 0.9750 and C(p) = 2.6031 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 10.65501 5.32751 584.02 <.0001 Error 30 0.27366 0.00912 Corrected Total 32 10.92867 Regression models 198 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx2 Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 3.09277 0.12278 5.78805 634.51 <.0001 ALF -6.73085 0.27504 5.46309 598.89 <.0001 CSM 2.19965 0.06954 9.12819 1000.67 <.0001 Bounds on condition number: 1.1888, 4.7552 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1500 level. No other variable met the 0.1500 significance level for entry into the model. Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 CSM 1 0.4751 0.4751 591.565 28.06 <.0001 2 ALF 2 0.4999 0.9750 2.6031 598.89 <.0001 Regression models 199 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx2 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 10.65501 5.32751 584.02 <.0001 Error 30 0.27366 0.00912 Corrected Total 32 10.92867 Root MSE 0.09551 R-Square 0.9750 Dependent Mean 3.10570 Adj R-Sq 0.9733 Coeff Var 3.07531 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.09277 0.12278 25.19 <.0001 0 ALF 1 -6.73085 0.27504 -24.47 <.0001 -0.77089 CSM 1 2.19965 0.06954 31.63 <.0001 0.99647 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ALF 1 1.18880 CSM 1 1.18880 Regression models 200 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx3 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable AVS Entered: R-Square = 0.3211 and C(p) = 17.6652 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 3.50944 3.50944 14.66 0.0006 Error 31 7.41923 0.23933 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 8.55115 1.42459 8.62312 36.03 <.0001 AVS -1.23268 0.32191 3.50944 14.66 0.0006 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable ALF Entered: R-Square = 0.4064 and C(p) = 13.8030 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 4.44146 2.22073 10.27 0.0004 Error 30 6.48721 0.21624 Corrected Total 32 10.92867 Regression models 201 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx3 Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 9.27483 1.39828 9.51398 44.00 <.0001 AVS -1.13624 0.30949 2.91464 13.48 0.0009 ALF -2.57902 1.24226 0.93201 4.31 0.0466 Bounds on condition number: 1.023, 4.0922 -------------------------------------------------------------------------------- Stepwise Selection: Step 3 Variable SPA Entered: R-Square = 0.4919 and C(p) = 9.9251 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 5.37599 1.79200 9.36 0.0002 Error 29 5.55268 0.19147 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 8.41667 1.37190 7.20676 37.64 <.0001 SPA -2.85492 1.29226 0.93453 4.88 0.0352 AVS -0.59964 0.37922 0.47874 2.50 0.1247 ALF -4.79584 1.54055 1.85558 9.69 0.0041 Bounds on condition number: 2.2456, 17.271 -------------------------------------------------------------------------------- Stepwise Selection: Step 4 Variable UTL Entered: R-Square = 0.5566 and C(p) = 7.4816 Regression models 202 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx3 Dependent Variable: CPM Stepwise Selection: Step 4 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 6.08246 1.52061 8.79 <.0001 Error 28 4.84622 0.17308 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 7.18256 1.44030 4.30427 24.87 <.0001 UTL -0.16687 0.08259 0.70647 4.08 0.0530 SPA -3.91537 1.33605 1.48643 8.59 0.0067 AVS 0.25062 0.55417 0.03540 0.20 0.6546 ALF -6.75338 1.75617 2.55949 14.79 0.0006 Bounds on condition number: 4.0981, 47.825 -------------------------------------------------------------------------------- Stepwise Selection: Step 5 Variable AVS Removed: R-Square = 0.5533 and C(p) = 5.7042 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 6.04706 2.01569 11.97 <.0001 Error 29 4.88162 0.16833 Corrected Total 32 10.92867 Regression models 203 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx3 Dependent Variable: CPM Stepwise Selection: Step 5 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 7.72152 0.79762 15.77535 93.72 <.0001 UTL -0.13850 0.05299 1.14981 6.83 0.0141 SPA -3.50357 0.96417 2.22267 13.20 0.0011 ALF -6.20314 1.24891 4.15268 24.67 <.0001 Bounds on condition number: 1.422, 11.614 -------------------------------------------------------------------------------- Stepwise Selection: Step 6 Variable ASL Entered: R-Square = 0.6013 and C(p) = 4.4078 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 6.57115 1.64279 10.56 <.0001 Error 28 4.35752 0.15563 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 8.59553 0.90278 14.10804 90.65 <.0001 UTL -0.21282 0.06509 1.66383 10.69 0.0029 ASL 0.00033277 0.00018133 0.52410 3.37 0.0771 SPA -4.95030 1.21695 2.57512 16.55 0.0004 ALF -7.21137 1.32056 4.64087 29.82 <.0001 Bounds on condition number: 2.8564, 34.968 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1500 level. No other variable met the 0.1500 significance level for entry into the model. Regression models 204 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx3 Dependent Variable: CPM Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 AVS 1 0.3211 0.3211 17.6652 14.66 0.0006 2 ALF 2 0.0853 0.4064 13.8030 4.31 0.0466 3 SPA 3 0.0855 0.4919 9.9251 4.88 0.0352 4 UTL 4 0.0646 0.5566 7.4816 4.08 0.0530 5 AVS 3 0.0032 0.5533 5.7042 0.20 0.6546 6 ASL 4 0.0480 0.6013 4.4078 3.37 0.0771 Regression models 205 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx3 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 4 6.57115 1.64279 10.56 <.0001 Error 28 4.35752 0.15563 Corrected Total 32 10.92867 Root MSE 0.39449 R-Square 0.6013 Dependent Mean 3.10570 Adj R-Sq 0.5443 Coeff Var 12.70228 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 8.59553 0.90278 9.52 <.0001 0 UTL 1 -0.21282 0.06509 -3.27 0.0029 -0.52768 ASL 1 0.00033277 0.00018133 1.84 0.0771 0.37011 SPA 1 -4.95030 1.21695 -4.07 0.0004 -0.75983 ALF 1 -7.21137 1.32056 -5.46 <.0001 -0.82592 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 UTL 1 1.82895 ASL 1 2.85642 SPA 1 2.45022 ALF 1 1.60637 Regression models 206 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx4 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable ALF Entered: R-Square = 0.1397 and C(p) = 24.9436 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.52682 1.52682 5.03 0.0321 Error 31 9.40185 0.30329 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 4.56055 0.65546 14.68232 48.41 <.0001 ALF -3.26355 1.45453 1.52682 5.03 0.0321 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable SPA Entered: R-Square = 0.4481 and C(p) = 7.6056 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 4.89725 2.44862 12.18 0.0001 Error 30 6.03142 0.20105 Corrected Total 32 10.92867 Regression models 207 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx4 Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 6.55600 0.72271 16.54409 82.29 <.0001 SPA -4.16369 1.01692 3.37043 16.76 0.0003 ALF -6.02514 1.36286 3.92946 19.54 0.0001 Bounds on condition number: 1.3244, 5.2975 -------------------------------------------------------------------------------- Stepwise Selection: Step 3 Variable UTL Entered: R-Square = 0.5533 and C(p) = 3.0085 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 6.04706 2.01569 11.97 <.0001 Error 29 4.88162 0.16833 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 7.72152 0.79762 15.77535 93.72 <.0001 UTL -0.13850 0.05299 1.14981 6.83 0.0141 SPA -3.50357 0.96417 2.22267 13.20 0.0011 ALF -6.20314 1.24891 4.15268 24.67 <.0001 Bounds on condition number: 1.422, 11.614 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1500 level. No other variable met the 0.1500 significance level for entry into the model. Regression models 208 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx4 Dependent Variable: CPM Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 ALF 1 0.1397 0.1397 24.9436 5.03 0.0321 2 SPA 2 0.3084 0.4481 7.6056 16.76 0.0003 3 UTL 3 0.1052 0.5533 3.0085 6.83 0.0141 Regression models 209 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx4 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 6.04706 2.01569 11.97 <.0001 Error 29 4.88162 0.16833 Corrected Total 32 10.92867 Root MSE 0.41028 R-Square 0.5533 Dependent Mean 3.10570 Adj R-Sq 0.5071 Coeff Var 13.21063 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 7.72152 0.79762 9.68 <.0001 0 UTL 1 -0.13850 0.05299 -2.61 0.0141 -0.34342 SPA 1 -3.50357 0.96417 -3.63 0.0011 -0.53777 ALF 1 -6.20314 1.24891 -4.97 <.0001 -0.71045 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 UTL 1 1.12096 SPA 1 1.42195 ALF 1 1.32832 Regression models 210 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx6 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 4.89725 2.44862 12.18 0.0001 Error 30 6.03142 0.20105 Corrected Total 32 10.92867 Root MSE 0.44838 R-Square 0.4481 Dependent Mean 3.10570 Adj R-Sq 0.4113 Coeff Var 14.43744 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 6.55600 0.72271 9.07 <.0001 0 SPA 1 -4.16369 1.01692 -4.09 0.0003 -0.63909 ALF 1 -6.02514 1.36286 -4.42 0.0001 -0.69006 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 SPA 1 1.32437 ALF 1 1.32437 Regression models 211 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx7 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 4.96780 1.65593 8.06 0.0005 Error 29 5.96087 0.20555 Corrected Total 32 10.92867 Root MSE 0.45337 R-Square 0.4546 Dependent Mean 3.10570 Adj R-Sq 0.3981 Coeff Var 14.59812 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 6.45818 0.74959 8.62 <.0001 0 SPA 1 -3.78501 1.21451 -3.12 0.0041 -0.58097 ALF 1 -5.81873 1.42235 -4.09 0.0003 -0.66642 TYPE 1 -0.11067 0.18889 -0.59 0.5625 -0.09504 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 SPA 1 1.84770 ALF 1 1.41094 TYPE 1 1.39922 Regression models 212 04:35 Wednesday, December 13, 2006 The REG Procedure Model: mx8 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 3 4.90733 1.63578 7.88 0.0005 Error 29 6.02134 0.20763 Corrected Total 32 10.92867 Root MSE 0.45567 R-Square 0.4490 Dependent Mean 3.10570 Adj R-Sq 0.3920 Coeff Var 14.67198 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 6.52900 0.74460 8.77 <.0001 0 ASL 1 -0.00003613 0.00016398 -0.22 0.8272 -0.04018 SPA 1 -3.96817 1.36217 -2.91 0.0068 -0.60908 ALF 1 -5.92605 1.45619 -4.07 0.0003 -0.67871 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ASL 1 1.75070 SPA 1 2.30095 ALF 1 1.46403 Regression models 213 04:35 Wednesday, December 13, 2006 The REG Procedure Model: verf10 Dependent Variable: LCPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 0.18069 0.18069 6.09 0.0193 Error 31 0.91929 0.02965 Corrected Total 32 1.09997 Root MSE 0.17220 R-Square 0.1643 Dependent Mean 1.11647 Adj R-Sq 0.1373 Coeff Var 15.42400 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 2.48795 0.55642 4.47 <.0001 0 LASL 1 -0.19017 0.07704 -2.47 0.0193 -0.40530 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 LASL 1 1.00000 Regression models 214 04:35 Wednesday, December 13, 2006 The REG Procedure Model: verf11 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 1.62271 1.62271 5.41 0.0268 Error 31 9.30596 0.30019 Corrected Total 32 10.92867 Root MSE 0.54790 R-Square 0.1485 Dependent Mean 3.10570 Adj R-Sq 0.1210 Coeff Var 17.64171 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 7.21575 1.77034 4.08 0.0003 0 LASL 1 -0.56990 0.24512 -2.32 0.0268 -0.38533 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 LASL 1 1.00000 Regression models 215 04:35 Wednesday, December 13, 2006 The REG Procedure Model: verf12 Dependent Variable: AVS Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 0.81563 0.81563 16.92 0.0003 Error 31 1.49397 0.04819 Corrected Total 32 2.30961 Root MSE 0.21953 R-Square 0.3531 Dependent Mean 4.41758 Adj R-Sq 0.3323 Coeff Var 4.96943 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 4.04101 0.09919 40.74 <.0001 0 AvgFilled 1 0.00477 0.00116 4.11 0.0003 0.59426 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 AvgFilled 1 1.00000 Regression models 216 04:35 Wednesday, December 13, 2006 The REG Procedure Model: ntxf11 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Stepwise Selection: Step 1 Variable AvgFilled Entered: R-Square = 0.2266 and C(p) = 10.7299 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 2.47601 2.47601 9.08 0.0051 Error 31 8.45266 0.27267 Corrected Total 32 10.92867 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 3.76180 0.23594 69.31364 254.21 <.0001 AvgFilled -0.00831 0.00276 2.47601 9.08 0.0051 Bounds on condition number: 1, 1 -------------------------------------------------------------------------------- Stepwise Selection: Step 2 Variable ALF Entered: R-Square = 0.4527 and C(p) = 1.1139 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 4.94734 2.47367 12.41 0.0001 Error 30 5.98133 0.19938 Corrected Total 32 10.92867 Regression models 217 04:35 Wednesday, December 13, 2006 The REG Procedure Model: ntxf11 Dependent Variable: CPM Stepwise Selection: Step 2 Parameter Standard Variable Estimate Error Type II SS F Value Pr > F Intercept 5.77893 0.60742 18.04645 90.51 <.0001 ALF -4.23302 1.20233 2.47133 12.40 0.0014 AvgFilled -0.00996 0.00240 3.42052 17.16 0.0003 Bounds on condition number: 1.0394, 4.1576 -------------------------------------------------------------------------------- All variables left in the model are significant at the 0.1500 level. No other variable met the 0.1500 significance level for entry into the model. Summary of Stepwise Selection Variable Variable Number Partial Model Step Entered Removed Vars In R-Square R-Square C(p) F Value Pr > F 1 AvgFilled 1 0.2266 0.2266 10.7299 9.08 0.0051 2 ALF 2 0.2261 0.4527 1.1139 12.40 0.0014 Regression models 218 04:35 Wednesday, December 13, 2006 The REG Procedure Model: ntxf11 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 2 4.94734 2.47367 12.41 0.0001 Error 30 5.98133 0.19938 Corrected Total 32 10.92867 Root MSE 0.44652 R-Square 0.4527 Dependent Mean 3.10570 Adj R-Sq 0.4162 Coeff Var 14.37736 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 5.77893 0.60742 9.51 <.0001 0 ALF 1 -4.23302 1.20233 -3.52 0.0014 -0.48481 AvgFilled 1 -0.00996 0.00240 -4.14 0.0003 -0.57036 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 ALF 1 1.03939 AvgFilled 1 1.03939 Regression models 219 04:35 Wednesday, December 13, 2006 The REG Procedure Model: ntxf12 Dependent Variable: CPM Number of Observations Read 33 Number of Observations Used 33 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 1 2.47601 2.47601 9.08 0.0051 Error 31 8.45266 0.27267 Corrected Total 32 10.92867 Root MSE 0.52217 R-Square 0.2266 Dependent Mean 3.10570 Adj R-Sq 0.2016 Coeff Var 16.81345 Parameter Estimates Parameter Standard Standardized Variable DF Estimate Error t Value Pr > |t| Estimate Intercept 1 3.76180 0.23594 15.94 <.0001 0 AvgFilled 1 -0.00831 0.00276 -3.01 0.0051 -0.47598 Parameter Estimates Variance Variable DF Inflation Intercept 1 0 AvgFilled 1 1.00000 Comparing models by R-Squared 220 04:35 Wednesday, December 13, 2006 Obs _MODEL_ _RSQ_ _ADJRSQ_ 1 mx1 0.97496 0.97329 2 mx2 0.97496 0.97329 3 Bigstep 0.71667 0.66420 4 Air1A 0.68496 0.63995 5 polystep 0.69250 0.62153 6 Air1B 0.66519 0.61736 7 Short2 0.58940 0.54693 8 Long1 0.58940 0.54693 9 model5 0.60128 0.54432 10 mx3 0.60128 0.54432 11 cpmistep 0.55179 0.52191 12 Air1AxUTL 0.56671 0.52189 13 im1 0.54129 0.51071 14 m5xASL 0.55332 0.50711 15 mx4 0.55332 0.50711 16 Long2 0.50334 0.47023 17 cpmvcsm 0.47507 0.45814 18 Air1BxUTL 0.50348 0.45212 19 Short3 0.47771 0.42368 20 ntxf11 0.45269 0.41621 21 mx6 0.44811 0.41132 22 mx7 0.45457 0.39814 23 mx8 0.44903 0.39204 24 Long3 0.39504 0.35471 25 verf12 0.35315 0.33228 26 cpmviavgf 0.32532 0.30355 27 cpmvavs 0.32112 0.29922 28 im2 0.26637 0.24271 29 model2 0.29383 0.22077 30 model1 0.22656 0.20161 31 ntxf12 0.22656 0.20161 32 model3 0.23984 0.18916 33 cpmviasl 0.16451 0.13756 34 verf10 0.16426 0.13731 35 verf11 0.14848 0.12101 36 cpmvalf 0.13971 0.11196 37 cpmvutl 0.13836 0.11057 38 model4 0.16099 0.10506 39 cpmvialf 0.12577 0.09757 40 cpmvasl 0.12304 0.09476 41 cpmvtype 0.11757 0.08911 42 cpmvispa 0.11691 0.08843 43 cpmvspa 0.08856 0.05915