Title 'Agresti9.4.MULTIPLE.SAS -- analysis of Agresti data Table 9.4'; data agresti2; input P S Be Ba New; label P= 'selling price in thousands' S= 'size in thousands' Be= 'number bedrooms' Ba= 'number bathrooms' New= 'new-1 or old-0'; cards; 48.5 1.10 3 1 0 55.0 1.01 3 2 0 68.0 1.45 3 2 0 137.0 2.40 3 3 0 309.4 3.30 4 3 1 17.5 .40 1 1 0 19.6 1.28 3 1 0 24.5 .74 3 1 0 34.8 .78 2 1 0 32.0 .97 3 1 0 28.0 .84 3 1 0 49.9 1.08 2 2 0 59.9 .99 2 1 0 61.5 1.01 3 2 0 60.0 1.34 3 2 0 65.9 1.22 3 1 0 67.9 1.28 3 2 0 68.9 1.29 3 2 0 69.9 1.52 3 2 0 70.5 1.25 3 2 0 72.9 1.28 3 2 0 72.5 1.28 3 1 0 72.0 1.36 3 2 0 71.0 1.20 3 2 0 76.0 1.46 3 2 0 72.9 1.56 4 2 0 73.0 1.22 3 2 0 70.0 1.40 2 2 0 76.0 1.15 2 2 0 69.0 1.74 3 2 0 75.5 1.62 3 2 0 76.0 1.66 3 2 0 81.8 1.33 3 2 0 84.5 1.34 3 2 0 83.5 1.40 3 2 0 86.0 1.15 2 2 1 86.9 1.58 3 2 1 86.9 1.58 3 2 1 86.9 1.58 3 2 1 87.9 1.71 3 2 0 88.1 2.10 3 2 0 85.9 1.27 3 2 0 89.5 1.34 3 2 0 87.4 1.25 3 2 0 87.9 1.68 3 2 0 88.0 1.55 3 2 0 90.0 1.55 3 2 0 96.0 1.36 3 2 1 99.9 1.51 3 2 1 95.5 1.54 3 2 1 98.5 1.51 3 2 0 100.1 1.85 3 2 0 99.9 1.62 4 2 1 101.9 1.40 3 2 1 101.9 1.92 4 2 0 102.3 1.42 3 2 1 110.8 1.56 3 2 1 105.0 1.43 3 2 1 97.9 2.00 3 2 0 106.3 1.45 3 2 1 106.5 1.65 3 2 0 116.0 1.72 4 2 1 108.0 1.79 4 2 1 107.5 1.85 3 2 0 109.9 2.06 4 2 1 110.0 1.76 4 2 0 120.0 1.62 3 2 1 115.0 1.80 4 2 1 113.4 1.98 3 2 0 114.9 1.57 3 2 0 115.0 2.19 3 2 0 115.0 2.07 4 2 0 117.9 1.99 4 2 0 110.0 1.55 3 2 0 115.0 1.67 3 2 0 124.0 2.40 4 2 0 129.9 1.79 4 2 1 124.0 1.89 3 2 0 128.0 1.88 3 2 1 132.4 2.00 4 2 1 139.3 2.05 4 2 1 139.3 2.00 4 2 1 139.7 2.03 3 2 1 142.0 2.12 3 3 0 141.3 2.08 4 2 1 147.5 2.19 4 2 0 142.5 2.40 4 2 0 148.0 2.40 5 2 0 149.0 3.05 4 2 0 150.0 2.04 3 3 0 172.9 2.25 4 2 1 190.0 2.57 4 3 1 280.0 3.85 4 3 0 ; proc corr pearson; var S Ba P; proc chart; hbar S Ba P; proc reg simple corr; model P = S Ba/adjrsq stb tol vif r; output out=resid student=sresid; plot (P)*(S Ba) (residual.)*(S Ba predicted.)/hplots=2 vplots=2; proc chart data=resid; vbar sresid; proc univariate plot; var sresid; proc reg; model P = S; model P = S Ba; proc reg; model P= Ba; model P = Ba S; run; Correlation Analysis 3 'VAR' Variables: S BA P Simple Statistics Variable N Mean Std Dev Sum S 93 1.649677 0.525261 153.420000 BA 93 1.956989 0.414781 182.000000 P 93 99.533333 44.184134 9256.600000 Simple Statistics Variable Minimum Maximum Label S 0.400000 3.850000 size in thousands BA 1.000000 3.000000 number bathrooms P 17.500000 309.400000 selling price in thousands Pearson Correlation Coefficients / Prob > |R| under Ho: Rho=0 / N = 93 S BA P S 1.00000 0.66248 0.89881 size in thousands 0.0 0.0001 0.0001 BA 0.66248 1.00000 0.71370 number bathrooms 0.0001 0.0 0.0001 P 0.89881 0.71370 1.00000 selling price in thousands 0.0001 0.0001 0.0 size in thousands Cum. Cum. Midpoint Freq Freq Percent Percent | 0.5 |* 2 2 2.15 2.15 | 1.0 |******* 13 15 13.98 16.13 | 1.5 |*********************** 45 60 48.39 64.52 | 2.0 |************ 24 84 25.81 90.32 | 2.5 |*** 6 90 6.45 96.77 | 3.0 |* 1 91 1.08 97.85 | 3.5 |* 1 92 1.08 98.92 | 4.0 |* 1 93 1.08 100.00 | -----+----+----+----+--- 10 20 30 40 Frequency number bathrooms Cum. Cum. Midpoint Freq Freq Percent Percent | 0.9 |***** 10 10 10.75 10.75 | 1.2 | 0 10 0.00 10.75 | 1.5 | 0 10 0.00 10.75 | 1.8 | 0 10 0.00 10.75 | 2.1 |*************************************** 77 87 82.80 93.55 | 2.4 | 0 87 0.00 93.55 | 2.7 | 0 87 0.00 93.55 | 3.0 |*** 6 93 6.45 100.00 | -----+----+----+----+----+----+----+---- 10 20 30 40 50 60 70 Frequency selling price in thousands Cum. Cum. Midpoint Freq Freq Percent Percent | 20 |****** 6 6 6.45 6.45 | 60 |************************ 24 30 25.81 32.26 | 100 |****************************************** 42 72 45.16 77.42 | 140 |***************** 17 89 18.28 95.70 | 180 |** 2 91 2.15 97.85 | 220 | 0 91 0.00 97.85 | 260 | 0 91 0.00 97.85 | 300 |** 2 93 2.15 100.00 | -----+----+----+----+----+----+----+----+-- 5 10 15 20 25 30 35 40 Frequency Descriptive Statistics Variables Sum Mean INTERCEP 93 1 Intercept S 153.42 1.6496774194 size in thousands BA 182 1.9569892473 number bathrooms P 9256.6 99.533333333 selling price in thousands Variables Uncorrected SS Variance INTERCEP 93 0 Intercept S 278.4762 0.2758988079 size in thousands BA 372 0.1720430108 number bathrooms P 1100946.12 1952.2376812 selling price in thousands Variables Std Deviation INTERCEP 0 Intercept S 0.5252607047 size in thousands BA 0.4147806779 number bathrooms P 44.184133817 selling price in thousands Correlation CORR S BA P S 1.0000 0.6625 0.8988 size in thousands BA 0.6625 1.0000 0.7137 number bathrooms P 0.8988 0.7137 1.0000 selling price in thousands Model: MODEL1 Dependent Variable: P selling price in thousands Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F Model 2 149573.05812 74786.52906 224.114 0.0001 Error 90 30032.80854 333.69787 C Total 92 179605.86667 Root MSE 18.26740 R-square 0.8328 Dep Mean 99.53333 Adj R-sq 0.8291 C.V. 18.35305 Parameter Estimates Parameter Standard T for H0: Variable DF Estimate Error Parameter=0 Prob > |T| INTERCEP 1 -49.751639 9.18328432 -5.418 0.0001 S 1 63.863149 4.84040129 13.194 0.0001 BA 1 22.448451 6.12967943 3.662 0.0004 Standardized Variance Variable DF Estimate Tolerance Inflation INTERCEP 1 0.00000000 . 0.00000000 S 1 0.75920471 0.56111652 1.78216105 BA 1 0.21073591 0.56111652 1.78216105 Variable Variable DF Label INTERCEP 1 Intercept S 1 size in thousands BA 1 number bathrooms Dep Var Predict Std Err Std Err Student Obs P Value Predict Residual Residual Residual 1 48.5000 42.9463 4.939 5.5537 17.587 0.316 2 55.0000 59.6470 3.785 -4.6470 17.871 -0.260 3 68.0000 87.7468 2.220 -19.7468 18.132 -1.089 4 137.0 170.9 5.185 -33.8653 17.516 -1.933 5 309.4 228.3 6.372 81.0579 17.120 4.735 6 17.5000 -1.7579 5.251 19.2579 17.496 1.101 7 19.6000 54.4416 5.224 -34.8416 17.504 -1.990 8 24.5000 19.9555 4.813 4.5445 17.622 0.258 9 34.8000 22.5101 4.796 12.2899 17.627 0.697 10 32.0000 34.6441 4.822 -2.6441 17.619 -0.150 11 28.0000 26.3419 4.785 1.6581 17.630 0.094 12 49.9000 64.1175 3.496 -14.2175 17.930 -0.793 13 59.9000 35.9213 4.835 23.9787 17.616 1.361 14 61.5000 59.6470 3.785 1.8530 17.871 0.104 15 60.0000 80.7219 2.535 -20.7219 18.091 -1.145 16 65.9000 50.6099 5.115 15.2901 17.537 0.872 17 67.9000 76.8901 2.736 -8.9901 18.061 -0.498 18 68.9000 77.5287 2.701 -8.6287 18.067 -0.478 19 69.9000 92.2172 2.067 -22.3172 18.150 -1.230 20 70.5000 74.9742 2.842 -4.4742 18.045 -0.248 21 72.9000 76.8901 2.736 -3.9901 18.061 -0.221 22 72.5000 54.4416 5.224 18.0584 17.504 1.032 23 72.0000 81.9991 2.473 -9.9991 18.099 -0.552 24 71.0000 71.7810 3.026 -0.7810 18.015 -0.043 25 76.0000 88.3855 2.196 -12.3855 18.135 -0.683 26 72.9000 94.7718 1.999 -21.8718 18.158 -1.205 27 73.0000 73.0583 2.951 -0.0583 18.027 -0.003 28 70.0000 84.5537 2.354 -14.5537 18.115 -0.803 29 76.0000 68.5879 3.218 7.4121 17.982 0.412 30 69.0000 106.3 1.923 -37.2671 18.166 -2.051 31 75.5000 98.6036 1.931 -23.1036 18.165 -1.272 32 76.0000 101.2 1.909 -25.1581 18.167 -1.385 33 81.8000 80.0833 2.568 1.7167 18.086 0.095 34 84.5000 80.7219 2.535 3.7781 18.091 0.209 35 83.5000 84.5537 2.354 -1.0537 18.115 -0.058 36 86.0000 68.5879 3.218 17.4121 17.982 0.968 37 86.9000 96.0490 1.972 -9.1490 18.161 -0.504 38 86.9000 96.0490 1.972 -9.1490 18.161 -0.504 39 86.9000 96.0490 1.972 -9.1490 18.161 -0.504 40 87.9000 104.4 1.908 -16.4512 18.167 -0.906 41 88.1000 129.3 2.765 -41.1579 18.057 -2.279 42 85.9000 76.2515 2.771 9.6485 18.056 0.534 43 89.5000 80.7219 2.535 8.7781 18.091 0.485 44 87.4000 74.9742 2.842 12.4258 18.045 0.689 45 87.9000 102.4 1.905 -14.5354 18.168 -0.800 46 88.0000 94.1331 2.015 -6.1331 18.156 -0.338 47 90.0000 94.1331 2.015 -4.1331 18.156 -0.228 48 96.0000 81.9991 2.473 14.0009 18.099 0.774 49 99.9000 91.5786 2.086 8.3214 18.148 0.459 50 95.5000 93.4945 2.031 2.0055 18.154 0.110 51 98.5000 91.5786 2.086 6.9214 18.148 0.381 52 100.1 113.3 2.064 -13.1921 18.150 -0.727 53 99.9000 98.6036 1.931 1.2964 18.165 0.071 54 101.9 84.5537 2.354 17.3463 18.115 0.958 55 101.9 117.8 2.216 -15.8625 18.132 -0.875 56 102.3 85.8309 2.298 16.4691 18.122 0.909 57 110.8 94.7718 1.999 16.0282 18.158 0.883 58 105.0 86.4696 2.272 18.5304 18.126 1.022 59 97.9000 122.9 2.437 -24.9716 18.104 -1.379 60 106.3 87.7468 2.220 18.5532 18.132 1.023 61 106.5 100.5 1.912 5.9805 18.167 0.329 62 116.0 105.0 1.912 11.0101 18.167 0.606 63 108.0 109.5 1.970 -1.4603 18.161 -0.080 64 107.5 113.3 2.064 -5.7921 18.150 -0.319 65 109.9 126.7 2.628 -16.8034 18.077 -0.930 66 110.0 107.5 1.938 2.4556 18.164 0.135 67 120.0 98.6036 1.931 21.3964 18.165 1.178 68 115.0 110.1 1.983 4.9011 18.159 0.270 69 113.4 121.6 2.378 -8.1943 18.112 -0.452 70 114.9 95.4104 1.985 19.4896 18.159 1.073 71 115.0 135.0 3.096 -20.0056 18.003 -1.111 72 115.0 127.3 2.662 -12.3420 18.072 -0.683 73 117.9 122.2 2.407 -4.3329 18.108 -0.239 74 110.0 94.1331 2.015 15.8669 18.156 0.874 75 115.0 101.8 1.906 13.2033 18.168 0.727 76 124.0 148.4 3.947 -24.4168 17.836 -1.369 77 129.9 109.5 1.970 20.4397 18.161 1.125 78 124.0 115.8 2.146 8.1534 18.141 0.449 79 128.0 115.2 2.124 12.7920 18.144 0.705 80 132.4 122.9 2.437 9.5284 18.104 0.526 81 139.3 126.1 2.595 13.2353 18.082 0.732 82 139.3 122.9 2.437 16.4284 18.104 0.907 83 139.7 124.8 2.531 14.9125 18.091 0.824 84 142.0 153.0 5.510 -10.9836 17.417 -0.631 85 141.3 128.0 2.696 13.3194 18.067 0.737 86 147.5 135.0 3.096 12.4944 18.003 0.694 87 142.5 148.4 3.947 -5.9168 17.836 -0.332 88 148.0 148.4 3.947 -0.4168 17.836 -0.023 89 149.0 189.9 6.873 -40.9279 16.925 -2.418 90 150.0 147.9 5.659 2.1255 17.369 0.122 91 172.9 138.8 3.330 34.0627 17.961 1.896 92 190.0 181.7 5.155 8.2780 17.525 0.472 93 280.0 263.5 8.227 16.5332 16.310 1.014 Cook's Obs -2-1-0 1 2 D 1 | | | 0.003 2 | | | 0.001 3 | **| | 0.006 4 | ***| | 0.109 5 | |******| 1.035 6 | |** | 0.036 7 | ***| | 0.118 8 | | | 0.002 9 | |* | 0.012 10 | | | 0.001 11 | | | 0.000 12 | *| | 0.008 13 | |** | 0.047 14 | | | 0.000 15 | **| | 0.009 16 | |* | 0.022 17 | | | 0.002 18 | | | 0.002 19 | **| | 0.007 20 | | | 0.001 21 | | | 0.000 22 | |** | 0.032 23 | *| | 0.002 24 | | | 0.000 25 | *| | 0.002 26 | **| | 0.006 27 | | | 0.000 28 | *| | 0.004 29 | | | 0.002 30 | ****| | 0.016 31 | **| | 0.006 32 | **| | 0.007 33 | | | 0.000 34 | | | 0.000 35 | | | 0.000 36 | |* | 0.010 37 | *| | 0.001 38 | *| | 0.001 39 | *| | 0.001 40 | *| | 0.003 41 | ****| | 0.041 42 | |* | 0.002 43 | | | 0.002 44 | |* | 0.004 45 | *| | 0.002 46 | | | 0.000 47 | | | 0.000 48 | |* | 0.004 49 | | | 0.001 50 | | | 0.000 51 | | | 0.001 52 | *| | 0.002 53 | | | 0.000 54 | |* | 0.005 55 | *| | 0.004 56 | |* | 0.004 57 | |* | 0.003 58 | |** | 0.005 59 | **| | 0.011 60 | |** | 0.005 61 | | | 0.000 62 | |* | 0.001 63 | | | 0.000 64 | | | 0.000 65 | *| | 0.006 66 | | | 0.000 67 | |** | 0.005 68 | | | 0.000 69 | | | 0.001 70 | |** | 0.005 71 | **| | 0.012 72 | *| | 0.003 73 | | | 0.000 74 | |* | 0.003 75 | |* | 0.002 76 | **| | 0.031 77 | |** | 0.005 78 | | | 0.001 79 | |* | 0.002 80 | |* | 0.002 81 | |* | 0.004 82 | |* | 0.005 83 | |* | 0.004 84 | *| | 0.013 85 | |* | 0.004 86 | |* | 0.005 87 | | | 0.002 88 | | | 0.000 89 | ****| | 0.321 90 | | | 0.001 91 | |*** | 0.041 92 | | | 0.006 93 | |** | 0.087 Sum of Residuals 0 Sum of Squared Residuals 30032.8085 Predicted Resid SS (Press) 34174.5048 --+------+------+------+------+-- --+------+------+------+------+-- | | | | 400 + + 400 + + | | | | | | | | | | | | | | | | 300 + 1 + 300 + 1 + P | 1 | P | 1 | | | | | | | | | | | | | 200 + 1 + 200 + 1 + | 1 | | 1 | | 1 | | 1 | | 43 3 1 | | 9 2 | | 43431 1 | | * | 100 + 55142 + 100 + * + | 39463 1 | | 1 * | | 3 4111 | | 2 8 | | 1 12 | | 3 1 | | 1 11 1 | | 4 | 0 + + 0 + + | | | | --+------+------+------+------+-- --+------+------+------+------+-- 0 1 2 3 4 1.0 1.5 2.0 2.5 3.0 S BA --+------+------+------+------+-- --+------+------+------+------+-- | | | | 100 + + 100 + + | | | | | | | | | 1 | | 1 | | | | | | | | | R | | R | | E 50 + + E 50 + + S | | S | | I | 1 | I | 1 | D | | D | | U | 1 1 122 1 | U | 3 5 | A | 1 12322132 1 | A | 2 * 1 | L | 1 23 2121 1 | L | 2 * 1 | 0 + 121212111 1 + 0 + 2 * 1 + | 1 415 12 1 | | * | | 1 2 2221 | | 9 1 | | 113 11 1 | | 8 | | 1 | | 1 | | 1 1 1 | | 1 1 1 | | 1 1 | | 2 | -50 + + -50 + + --+------+------+------+------+-- --+------+------+------+------+-- 0 1 2 3 4 1.0 1.5 2.0 2.5 3.0 S BA -+----+----+----+----+----+----+- | | 100 + + | | | | | 1 | | | | | R | | E 50 + + S | | I | 1 | D | | U |1 11 221 | A | 1 1 2232 321 1 | L | 1 1 132112 1 | 0 + 2 122112 2 + | 1142312 1 | | 1 112112 1 | | 131 1 11 | | 1 | | 1 1 1 | | 1 1 | -50 + + -+----+----+----+----+----+----+- 0 50 100 150 200 250 300 PRED Frequency | ***** | ***** 35 + ***** | ***** | ***** | ***** | ***** ***** 30 + ***** ***** | ***** ***** | ***** ***** | ***** ***** | ***** ***** 25 + ***** ***** | ***** ***** | ***** ***** | ***** ***** | ***** ***** 20 + ***** ***** | ***** ***** | ***** ***** | ***** ***** | ***** ***** 15 + ***** ***** | ***** ***** | ***** ***** | ***** ***** | ***** ***** ***** 10 + ***** ***** ***** ***** | ***** ***** ***** ***** | ***** ***** ***** ***** | ***** ***** ***** ***** | ***** ***** ***** ***** 5 + ***** ***** ***** ***** | ***** ***** ***** ***** | ***** ***** ***** ***** ***** | ***** ***** ***** ***** ***** | ***** ***** ***** ***** ***** ***** ----------------------------------------------------------------------------- -2.5 -1.5 -0.5 0.5 1.5 2.5 3.5 4.5 Studentized Residual Univariate Procedure Variable=SRESID Studentized Residual Moments N 93 Sum Wgts 93 Mean 0.002445 Sum 0.227406 Std Dev 1.020772 Variance 1.041976 Skewness 0.639554 Kurtosis 4.088028 USS 95.86236 CSS 95.8618 CV 41745.49 Std Mean 0.105849 T:Mean=0 0.023101 Pr>|T| 0.9816 Num ^= 0 93 Num > 0 48 M(Sign) 1.5 Pr>=|M| 0.8358 Sgn Rank 29.5 Pr>=|S| 0.9107 Quantiles(Def=5) 100% Max 4.734716 99% 4.734716 75% Q3 0.705047 95% 1.125482 50% Med 0.094055 90% 1.022334 25% Q1 -0.63064 10% -1.22959 0% Min -2.41815 5% -1.93339 1% -2.41815 Range 7.152867 Q3-Q1 1.335687 Mode -0.50378 Extremes Lowest Obs Highest Obs -2.41815( 89) 1.125482( 77) -2.27935( 41) 1.17789( 67) -2.05148( 30) 1.361192( 13) -1.99045( 7) 1.896437( 91) -1.93339( 4) 4.734716( 5) Univariate Procedure Variable=SRESID Studentized Residual Stem Leaf # Boxplot 4 7 1 * 4 3 3 2 2 1 9 1 | 1 00000011124 11 | 0 55555677777778899999 20 +-----+ 0 111111123333444 15 *--+--* -0 33332222211000 14 | | -0 99988877766555555 17 +-----+ -1 444322111 9 | -1 9 1 | -2 4310 4 | ----+----+----+----+ Normal Probability Plot 4.75+ * | | | | + | +++++ | +++++ * 1.25+ ++***** ** | ******** | ***** | ***** | *****+ | ******+ | +*+*+ -2.25+*+++*+* +----+----+----+----+----+----+----+----+----+----+ -2 -1 0 +1 +2 Model: MODEL1 Dependent Variable: P selling price in thousands Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F Model 1 145097.46423 145097.46423 382.628 0.0001 Error 91 34508.40244 379.21321 C Total 92 179605.86667 Root MSE 19.47340 R-square 0.8079 Dep Mean 99.53333 Adj R-sq 0.8058 C.V. 19.56470 Parameter Estimates Parameter Standard T for H0: Variable DF Estimate Error Parameter=0 Prob > |T| INTERCEP 1 -25.193563 6.68844982 -3.767 0.0003 S 1 75.606840 3.86520832 19.561 0.0001 Variable Variable DF Label INTERCEP 1 Intercept S 1 size in thousands Model: MODEL2 Dependent Variable: P selling price in thousands Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F Model 2 149573.05812 74786.52906 224.114 0.0001 Error 90 30032.80854 333.69787 C Total 92 179605.86667 Root MSE 18.26740 R-square 0.8328 Dep Mean 99.53333 Adj R-sq 0.8291 C.V. 18.35305 Parameter Estimates Parameter Standard T for H0: Variable DF Estimate Error Parameter=0 Prob > |T| INTERCEP 1 -49.751639 9.18328432 -5.418 0.0001 S 1 63.863149 4.84040129 13.194 0.0001 BA 1 22.448451 6.12967943 3.662 0.0004 Variable Variable DF Label INTERCEP 1 Intercept S 1 size in thousands BA 1 number bathrooms Model: MODEL1 Dependent Variable: P selling price in thousands Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F Model 1 91484.39764 91484.39764 94.473 0.0001 Error 91 88121.46902 968.36779 C Total 92 179605.86667 Root MSE 31.11861 R-square 0.5094 Dep Mean 99.53333 Adj R-sq 0.5040 C.V. 31.26451 Parameter Estimates Parameter Standard T for H0: Variable DF Estimate Error Parameter=0 Prob > |T| INTERCEP 1 -49.248370 15.64363711 -3.148 0.0022 BA 1 76.025815 7.82181856 9.720 0.0001 Variable Variable DF Label INTERCEP 1 Intercept BA 1 number bathrooms Model: MODEL2 Dependent Variable: P selling price in thousands Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F Model 2 149573.05812 74786.52906 224.114 0.0001 Error 90 30032.80854 333.69787 C Total 92 179605.86667 Root MSE 18.26740 R-square 0.8328 Dep Mean 99.53333 Adj R-sq 0.8291 C.V. 18.35305 Parameter Estimates Parameter Standard T for H0: Variable DF Estimate Error Parameter=0 Prob > |T| INTERCEP 1 -49.751639 9.18328432 -5.418 0.0001 BA 1 22.448451 6.12967943 3.662 0.0004 S 1 63.863149 4.84040129 13.194 0.0001 Variable Variable DF Label INTERCEP 1 Intercept BA 1 number bathrooms S 1 size in thousands