Linear Regression:

Consider the following data for a multiple regression model relating housing prices (in thousands of dollars) to the number of bedrooms in the house, the size of the lot and the size of the house in square feet. (See table)

Summary Output Regression Statistics Multiple R 0.82 R Square 0.67 Adjusted R Square 0.66 Standard Error 59.83 Observations 88 ANOVA SS MS F Significance F Regression 3 617130.7 205710 57.46 2.6696 Residual 84 300723 3580.05 Total 87 917854.5 Standard Coefficents error t-test P-value Lower 959 Upper 95% Intercept -21.77 29.48 -0.7386 0.46 80.38 36.844 Bedrooms 13.85 9.01 1.54 0.13 4.065 31.7 Lot size 0.002 0.00064 3.22 0.002 0.00079 0.003344 Square feet 0.1228 0.013 9.275 1.65E-14 0.09645 0.149