You Are Working For The Real Estate Company And You Are Tasked To Build A Model That Predicts The Property Value In Thou 1 (59.37 KiB) Viewed 22 times
You are working for the real estate company and you are tasked to build a model that predicts the property value in thousands of USD based on a set of factors. The potential factors include: • square footage (SqFt), • lot size (in thousands of square feet), • number of bathrooms, • whether the house is in a gated community (1 = yes, 0 = no) = = Below is the partial computer output for a multiple linear regression model used to predict the price of a house in thousands of $.
с D E F A B 1 SUMMARY OUTPUT 2. 3 Regression Statistics 4 Multiple R 5 R Square 6 Adjusted R Square 0.938693133 7 Standard Error 22.67365547 8 Observations 9 10 ANOVA 11 df 12 Regression 13 Residual 25 14 Total 15 16 Coefficients 17 Intercept -22.06508569 18 SqFt 0.177985617 19 LotSize 5.904504635 20 Baths 13.17656434 21 Gated? -0.129883323 MS F Significance F SS 230329.9324 243182.2987 t Stat P-value Standard Error 33.56939021 0.017408815 1.611883763 10.28255457 8.449433339 Lower 95% -91.20253902 0.142131492 -8.000753228 -17.53181703 What price can be expected for a hourse not in a gated community, on a lot of 6,500 SqFt, total house footage of 2,000 SqFt, and has 5 bathrooms?
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