General Linear Models Procedure Class Level Information Class Levels Values TEMP 5 50 60 70 80 90 HUMID 4 20 40 60 80 Number of observations in data set = 20 General Linear Models Procedure Dependent Variable: Y Sum of Mean Source DF Squares Square F Value Pr > F Model 7 2210.9150000 315.8450000 9.46 0.0005 Error 12 400.4470000 33.3705833 Corrected Total 19 2611.3620000 R-Square C.V. Root MSE Y Mean 0.846652 23.07922 5.7767277 25.030000 Source DF Type I SS Mean Square F Value Pr > F TEMP 4 136.6170000 34.1542500 1.02 0.4341 HUMID 3 2074.2980000 691.4326667 20.72 0.0001 General Linear Models Procedure Least Squares Means TEMP Y LSMEAN 50 22.0000000 60 22.2750000 70 25.0000000 80 27.4500000 90 28.4250000 General Linear Models Procedure Least Squares Means HUMID Y LSMEAN 20 12.5600000 40 18.5400000 60 30.1800000 80 38.8400000 General Linear Models Procedure Class Level Information Class Levels Values TEMP 5 50 60 70 80 90 HUMID 4 20 40 60 80 Number of observations in data set = 20 General Linear Models Procedure Dependent Variable: Y Sum of Mean Source DF Squares Square F Value Pr > F Model 8 2499.5670086 312.4458761 30.74 0.0001 Error 11 111.7949914 10.1631810 Corrected Total 19 2611.3620000 R-Square C.V. Root MSE Y Mean 0.957189 12.73661 3.1879744 25.030000 Source DF Type I SS Mean Square F Value Pr > F TEMP 4 136.6170000 34.1542500 3.36 0.0498 HUMID 3 2074.2980000 691.4326667 68.03 0.0001 INTER 1 288.6520086 288.6520086 28.40 0.0002 T for H0: Pr > |T| Std Error of Parameter Estimate Parameter=0 Estimate INTERCEPT -78.37340114 B -3.45 0.0054 22.72070923 TEMP 50 16.69582819 B 3.41 0.0058 4.88911247 60 16.10191656 B 3.39 0.0060 4.74502948 70 9.63338457 B 2.89 0.0146 3.32948914 80 2.91282313 B 1.23 0.2446 2.36934214 90 0.00000000 B . . . HUMID 20 70.11906633 B 3.85 0.0027 18.20043428 40 62.82677455 B 3.99 0.0021 15.72775810 60 33.99571192 B 4.12 0.0017 8.25400485 80 0.00000000 B . . . INTER 0.14272970 5.33 0.0002 0.02678193 NOTE: The X'X matrix has been found to be singular and a generalized inverse was used to solve the normal equations. Estimates followed by the letter 'B' are biased, and are not unique estimators of the parameters. OBS TEMP HUMID Y PRED INTER PY RY 1 50 20 12.3 9.530 45.410 14.9229 -2.62291 2 50 40 19.6 15.510 120.280 18.3167 1.28326 3 50 60 25.7 27.150 368.561 24.9228 0.77723 4 50 80 30.4 35.810 641.178 29.8376 0.56242 5 60 20 13.7 9.805 48.069 14.7085 -1.00846 6 60 40 16.9 15.785 124.583 18.3370 -1.43700 7 60 60 27.0 27.425 376.065 25.3999 1.60008 8 60 80 31.5 36.085 651.064 30.6546 0.84537 9 70 20 17.8 12.530 78.500 12.5834 5.21660 10 70 40 20.0 18.510 171.310 18.5378 1.46221 11 70 60 26.3 30.150 454.511 30.1279 -3.82795 12 70 80 35.9 38.810 753.108 38.7509 -2.85087 13 80 20 12.1 14.980 112.200 10.6728 1.42721 14 80 40 17.4 20.960 219.661 18.7183 -1.31832 15 80 60 36.9 32.600 531.380 34.3788 2.52116 16 80 80 43.4 41.260 851.194 46.0301 -2.63006 17 90 20 6.9 15.955 127.281 9.9124 -3.01245 18 90 40 18.8 21.935 240.572 18.7902 0.00984 19 90 60 35.0 33.575 563.640 36.0705 -1.07052 20 90 80 53.0 42.235 891.898 48.9269 4.07313 General Linear Models Procedure Class Level Information Class Levels Values TEMP 5 50 60 70 80 90 HUMID 4 20 40 60 80 Number of observations in data set = 20 General Linear Models Procedure Dependent Variable: Y Sum of Mean Source DF Squares Square F Value Pr > F Model 10 2501.1496351 250.1149635 20.42 0.0001 Error 9 110.2123649 12.2458183 Corrected Total 19 2611.3620000 R-Square C.V. Root MSE Y Mean 0.957795 13.98083 3.4994026 25.030000 Source DF Type I SS Mean Square F Value Pr > F TEMP 4 136.6170000 34.1542500 2.79 0.0927 HUMID 3 2074.2980000 691.4326667 56.46 0.0001 PTEMP*HUMID 3 290.2346351 96.7448784 7.90 0.0069 Source DF Type III SS Mean Square F Value Pr > F TEMP 3 0.00000000 0.00000000 0.00 1.0000 HUMID 3 149.62414805 49.87471602 4.07 0.0440 PTEMP*HUMID 3 290.23463514 96.74487838 7.90 0.0069 T for H0: Pr > |T| Std Error of Parameter Estimate Parameter=0 Estimate INTERCEPT 49.27636275 B 17.42 0.0001 2.82803323 TEMP 50 -19.75070123 B -4.76 0.0010 4.15013431 60 -18.90534048 B -4.68 0.0011 4.03654506 70 -10.52858392 B -3.46 0.0072 3.04587794 80 -2.99718812 B -1.19 0.2657 2.52557720 90 0.00000000 B . . . HUMID 20 67.40079858 B 3.16 0.0115 21.31091797 40 57.09280324 B 2.68 0.0252 21.31091797 60 27.91919307 B 1.31 0.2226 21.31091797 80 0.00000000 B . . . PTEMP*HUMID 20 -3.74274065 B -4.42 0.0017 0.84681107 40 -3.09200173 B -3.65 0.0053 0.84681107 60 -1.46141403 B -1.73 0.1185 0.84681107 80 0.00000000 B . . . NOTE: The X'X matrix has been found to be singular and a generalized inverse was used to solve the normal equations. Estimates followed by the letter 'B' are biased, and are not unique estimators of the parameters. General Linear Models Procedure Class Level Information Class Levels Values TEMP 5 50 60 70 80 90 HUMID 4 20 40 60 80 Number of observations in data set = 20 General Linear Models Procedure Dependent Variable: Y Sum of Mean Source DF Squares Square F Value Pr > F Model 8 2499.5670086 312.4458761 30.74 0.0001 Error 11 111.7949914 10.1631810 Corrected Total 19 2611.3620000 R-Square C.V. Root MSE Y Mean 0.957189 12.73661 3.1879744 25.030000 Source DF Type I SS Mean Square F Value Pr > F TEMP 4 136.6170000 34.1542500 3.36 0.0498 HUMID 3 2074.2980000 691.4326667 68.03 0.0001 PHUMID*PTEMP 1 288.6520086 288.6520086 28.40 0.0002 Source DF Type III SS Mean Square F Value Pr > F TEMP 4 128.41437641 32.10359410 3.16 0.0587 HUMID 3 148.05859110 49.35286370 4.86 0.0217 PHUMID*PTEMP 1 288.65200865 288.65200865 28.40 0.0002 T for H0: Pr > |T| Std Error of Parameter Estimate Parameter=0 Estimate INTERCEPT -108.6505643 B -3.83 0.0028 28.38400772 TEMP 50 16.5284687 B 3.40 0.0059 4.86126776 60 15.8210245 B 3.37 0.0063 4.69871702 70 8.8108958 B 2.74 0.0193 3.21760755 80 2.5082112 B 1.07 0.3081 2.34707781 90 0.0000000 B . . . HUMID 20 67.6059389 B 3.81 0.0029 17.73184824 40 52.2222435 B 3.80 0.0030 13.75669828 60 22.2780605 B 3.63 0.0040 6.14541723 80 0.0000000 B . . . PHUMID*PTEMP 0.1427297 5.33 0.0002 0.02678193 NOTE: The X'X matrix has been found to be singular and a generalized inverse was used to solve the normal equations. Estimates followed by the letter 'B' are biased, and are not unique estimators of the parameters. OBS TEMP HUMID Y _NAME_ STDERR PTEMP PHUMID PY RY 1 50 20 12.3 Y 2.58343 22.000 12.56 14.9229 -2.62291 2 60 20 13.7 Y 2.88836 22.275 12.56 14.7085 -1.00846 3 70 20 17.8 Y 2.88836 25.000 12.56 12.5834 5.21660 4 80 20 12.1 Y 2.88836 27.450 12.56 10.6728 1.42721 5 90 20 6.9 Y 2.88836 28.425 12.56 9.9124 -3.01245 6 50 40 19.6 Y 2.58343 22.000 18.54 18.3167 1.28326 7 60 40 16.9 Y 2.88836 22.275 18.54 18.3370 -1.43700 8 70 40 20.0 Y 2.88836 25.000 18.54 18.5378 1.46221 9 80 40 17.4 Y 2.88836 27.450 18.54 18.7183 -1.31832 10 90 40 18.8 Y 2.88836 28.425 18.54 18.7902 0.00984 11 50 60 25.7 Y 2.58343 22.000 30.18 24.9228 0.77723 12 60 60 27.0 Y 2.88836 22.275 30.18 25.3999 1.60008 13 70 60 26.3 Y 2.88836 25.000 30.18 30.1279 -3.82795 14 80 60 36.9 Y 2.88836 27.450 30.18 34.3788 2.52116 15 90 60 35.0 Y 2.88836 28.425 30.18 36.0705 -1.07052 16 50 80 30.4 Y 2.58343 22.000 38.84 29.8376 0.56242 17 60 80 31.5 Y 2.88836 22.275 38.84 30.6546 0.84537 18 70 80 35.9 Y 2.88836 25.000 38.84 38.7509 -2.85087 19 80 80 43.4 Y 2.88836 27.450 38.84 46.0301 -2.63006 20 90 80 53.0 Y 2.88836 28.425 38.84 48.9269 4.07313