Question: 2 The REG Procedure Model: MODEL1 Dependent Variable: y Number of Observations Read 1 2 Number of Observations Used 1 2 Analysis of Variance Source

2 The REG Procedure Model: MODEL1 Dependent Variable: y Number of Observations Read 1 2 Number of Observations Used 1 2 Analysis of Variance Source D Sum of F Squares Mean F Value Square Pr > F Model 1 28.3578 5 28.3578 5 0.000 4 Error 10 10.6921 5 1.06921 Corrected Total 11 39.0500 0 26.52 Root MSE 1.03403 RSquare 0.726 2 Dependent Mean 18.4500 Adj R-Sq 0 0.698 8 Coeff Var 5.60449 Parameter Estimates Variable D F Paramete r Estimate Standar t Value d Error Pr > | t| 95% Confidence Limits Intercep t 1 12.50853 1.19168 10.50 <.0001 9.85329 15.16376 x 1 35.82799 6.95694 5.15 0.0004 20.32696 51.32902 Q2 The REG Procedure Model: MODEL1 Dependent Variable: y Output Statistics Ob s 1 x Dependen t Variable Predicte d Value Std Error 95% CL Predict Mean Predict Residua l 0.0 9 14.7000 15.7330 0.6062 13.062 4 18.403 7 -1.0330 2 0.11 17.2000 16.4496 0.4899 13.900 2 18.999 0 0.7504 3 0.1 4 17.8000 17.5244 0.3484 15.093 2 19.955 7 0.2756 4 0.1 9 18.7000 19.3158 0.3426 16.888 7 21.743 0 -0.6158 5 0.1 8 19.6000 18.9576 0.3143 16.549 5 21.365 6 0.6424 6 0.2 3 20.2000 20.7490 0.5370 18.152 8 23.345 1 -0.5490 7 0.1 5 18.4000 17.8827 0.3182 15.472 2 20.293 3 0.5173 8 0.1 3 16.0000 17.1662 0.3889 14.704 6 19.627 7 -1.1662 9 0.1 6 20.5000 18.2410 0.3012 15.841 3 20.640 7 2.2590 10 0.1 7 17.8000 18.5993 0.2999 16.200 4 20.998 2 -0.7993 11 0.2 3 21.1000 20.7490 0.5370 18.152 8 23.345 1 0.3510 12 0.2 1 19.4000 20.0324 0.4284 17.538 6 22.526 3 -0.6324 Sum of Residuals Sum of Squared Residuals 0 10.6921 5 Predicted Residual SS (PRESS) 14.8951 3 Q3 The REG Procedure Model: MODEL1 Dependent Variable: BP Number of Observations Read 2 7 Number of Observations Used 2 6 Number of Observations with Missing Values 1 Analysis of Variance Source D F Sum of Squares Mean F Value Pr > F Square Model 1 2693.5812 2 2693.5812 2 Error 24 1808.5726 2 75.35719 Corrected Total 25 4502.1538 5 35.74 Root MSE 8.68085 RSquare 0.598 3 Dependent Mean 145.6153 Adj R-Sq 8 <.000 1 0.581 5 Coeff Var 5.96149 Parameter Estimates Variable D F Intercep t 1 Weight 1 Paramete r Estimate Standar t Value d Error 69.10437 12.91013 0.41942 0.07015 Pr > | t| 95% Confidence Limits 5.35 <.0001 42.45918 95.74957 5.98 <.0001 0.27463 0.56420 Q3 The REG Procedure Model: MODEL1 Dependent Variable: BP Output Statistics Ob Weight Dependen s t Variable Predicte d Value Std Error Mean Predict 95% CL Predict Residua l 1 165 130.0000 138.3079 2.0958 119.8767 156.739 0 -8.3079 2 167 133.0000 139.1467 2.0172 120.753 0 157.540 5 -6.1467 3 180 150.0000 144.5991 1.7109 126.338 0 162.860 2 5.4009 4 155 128.0000 2.5689 115.4293 152.798 2 -6.1137 5 212 151.0000 158.0204 2.6839 139.267 2 176.773 6 -7.0204 6 175 146.0000 142.5020 1.7803 124.212 7 160.791 3 3.4980 7 190 150.0000 148.7933 1.7835 130.502 6 167.083 9 1.2067 8 210 140.0000 157.1816 2.5770 138.492 4 175.870 -17.1816 8 9 200 148.0000 152.9874 2.1021 134.553 2 171.421 6 -4.9874 10 149 125.0000 131.5972 2.8976 112.7091 150.485 4 -6.5972 11 158 133.0000 135.3720 2.4153 116.7750 153.969 0 -2.3720 12 169 135.0000 139.9855 1.9455 121.624 7 158.346 4 -4.9855 13 170 150.0000 140.4050 1.9126 122.058 9 158.751 0 9.5950 14 172 153.0000 141.2438 1.8528 122.923 8 159.563 7 11.7562 134.1137 Output Statistics Ob Weight Dependen s t Variable Predicte d Value Std Error Mean Predict 95% CL Predict Residua l 15 159 128.0000 135.7914 2.3661 117.2214 154.361 4 -7.7914 16 168 132.0000 139.5661 1.9804 121.189 4 157.942 9 -7.5661 17 174 149.0000 142.0826 1.8021 123.784 2 160.381 0 6.9174 18 183 158.0000 145.8574 1.7029 127.599 164.1152 5 12.1426 19 215 150.0000 159.2786 2.8498 140.421 5 178.135 8 -9.2786 20 195 163.0000 150.8903 1.9175 132.542 1 169.238 6 12.1097 21 180 156.0000 144.5991 1.7109 126.338 0 162.860 2 11.4009 22 143 124.0000 129.0807 3.2476 109.951 6 148.209 9 -5.0807 23 240 170.0000 169.7640 4.3833 149.693 2 189.834 9 0.2360 24 235 165.0000 167.6669 4.0623 147.885 8 187.448 1 -2.6669 25 192 160.0000 149.6321 1.8302 131.321 8 167.942 4 10.3679 26 187 159.0000 147.5350 1.7325 129.265 3 165.804 7 11.4650 27 136 . 126.1448 3.6748 106.689 2 145.600 5 . Sum of Residuals 0 Sum of Squared Residuals 1808.5726 2 Predicted Residual SS (PRESS) 2061.6592 9 Q8 The GLM Procedure Class Level Information Class SYSTE M Level Values s 3 Electric GAS Solar Number of Observations Read 1 9 Number of Observations Used 1 9 Q8 The GLM Procedure Dependent Variable: COST Source D F Sum of Squares Model 2 17.68675877 8.84337939 Error 16 6.45008333 0.40313021 Corrected Total 18 24.13684211 R- Coeff Var Square 0.732770 9.373412 Source D F Type I SS SYSTE M 2 17.6867587 7 Source D Type III SS F SYSTE M 2 17.6867587 7 Mean F Value Pr > F Square 21.94 Root MSE COST Mea n 0.634925 <.000 1 6.773684 Mean F Value Pr > F Square 8.84337939 21.94 <.000 1 Mean F Value Pr > F Square 8.84337939 21.94 <.000 1

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