Test 3 Computer Practice Stepwise Regression

# Test 3 Computer Practice Stepwise Regression - The data...

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Unformatted text preview: The data concerns the selling price of a house, the size of the house (sq feet), the # of bedrooms, the # of bathrooms, whether it is downtown, distance to nearest grocery store (miles), and the type of house (1 story, 2 story, or split level). Use stepwise regression to determine the model for predicting selling price. Stepwise Regression: selling price versus size, bedrooms, ... Alpha-­‐to-­‐Enter: 0.15 Alpha-­‐to-­‐Remove: 0.15 Response is selling price on 7 predictors, with N = 25 Step 1 2 3 Constant -­‐93171 -­‐90160 -­‐88470 size 150.1 145.5 125.6 T-­‐Value 21.02 23.05 13.92 P-­‐Value 0.000 0.000 0.000 downtown 24672 24398 T-­‐Value 3.03 3.43 P-­‐Value 0.006 0.002 bathrooms 15422 T-­‐Value 2.80 P-­‐Value 0.011 S 20650 17729 15485 R-­‐Sq 95.05 96.51 97.46 R-­‐Sq(adj) 94.84 96.19 97.10 Mallows Cp 15.5 6.7 1.7 selling price 314656 161793 128898 208008 308934 165850 120152 123916 360454 126199 160922 229192 164386 231443 125636 169434 351032 170050 378503 216033 357702 298316 297129 242413 386748 ŷ = -­‐88470 + 125.6 Xsize + 24398 X downtown + 15422 size bedrooms 2590 1720 1480 2010 2730 1670 1490 1525 2980 1640 1780 1930 1820 2300 1520 1700 3100 1680 2890 1880 3230 2780 2640 2060 2990 bathrooms 3 3 2 3 3 3 2 2 4 3 3 3 2 3 2 3 5 3 5 3 4 3 4 3 4 24398 X downtown + 15422 X bathrooms 3 2 1.5 2 3.5 2 1.5 2 3 2 2 3 2 2.5 1.5 2 5 3 5 3.5 3.5 3 3 2.5 3.5 downtown grocery 1 4.7 0 2.2 0 3 0 1.8 0 2.4 0 3 0 3.2 0 2.1 1 4.9 0 3.2 0 1.7 1 5 0 2.6 0 2.4 0 2.7 1 4.6 0 1.9 0 2.8 0 3 1 4.6 0 3.9 0 3.5 1 4.2 0 2.2 1 4.4 type 2 s 1 2 2 s 1 1 2 1 2 2 1 2 1 s 2 s 2 2 2 2 2 2 2 ...
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