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1t]. Suppose a client owns e 2WD square foot house, built in 201D. with 2 replaces. on e 0.5 acre lot in one of the communities in the date set. Further. your house hes a pool, and it is located on a golf oourss. but has no dock or fenced 1gram. What does the original regression equation {step 4} predict the list price should be? Regression Equation List Price = -10424164 + 156.9 Square Footage + 48519 Number of Fireplaces + 67453 Acreage + 5207 Year Built + 139820 Has Pool? + 392017 Has Dock? - 2856 Fenced Yard? + 14472 On Golf Course? Coefficients Term Coef SE Coef T-Value P-Value Constant -10424164 2271171 -4.59 0.000 Square Footage 156.9 10.3 15.29 0.000 Number of Fireplaces 48519 17851 2.72 0.007 Acreage 67453 24183 2.79 0.006 Year Built 5207 1128 4.61 0.000 Has Pool? 139820 29663 4.71 0.000 Has Dock? 392017 29480 13.30 0.000 Fenced Yard? -2856 20348 -0.14 0.889 On Golf Course? 14472 19433 0.74 0.457 Model Summary S R-sq R-sq(adj) 108857 87.779% 87.290%Regression Equation List Price = -10146624 + 159.10 Square Footage + 48427 Number of Fireplaces + 75099 Acreage + 5066 Year Built + 137967 Has Pool? + 386843 Has Dock? Coefficients Term Coef SE Coef T-Value P-Value Constant -10146624 2139078 -4.74 0.000 Square Footage 159.10 9.79 16.26 0.000 Number of Fireplaces 48427 17620 2.75 0.007 Acreage 75099 21425 3.51 0.001 Year Built 5066 1063 4.77 0.000 Has Pool? 137967 29121 4,74 0.000 Has Dock? 386843 28521 13.56 0.000 Model Summary S R-sq R-sq(adj) 108471 87.74% 87.389%