Statisties R Square Adjusted R Square Standard Error 0.82 0.67 0.66 59.83 Observ
ID: 3330787 • Letter: S
Question
Statisties R Square Adjusted R Square Standard Error 0.82 0.67 0.66 59.83 Observations ANOVA MS F Significance 57.46 617130.7 205710 310 sion 2.6696 300723 358o.05s 87 917854.5 Residual 84 Total Standard error Coefficents t-test p-value Lowe r 95% Upper95% 36.844 21.77 13.85 0.002 0.1228 0.46 0.13 0.002 80.38 4.065 0.00079 0.003344 0.7386 Intercept Bedrooms Lot size Square feet 29.48 9.01 0.00064 1.54 31.77 3.22 0.013 9.275 1.65E-14 0.09645 0.149 Which statement below best describes the goodness-of-fit? a. The data is not a good fit because 67 o b. The data is a good fit because the F-value is 57.46 O c Approximately 66% of the change in pnce of a house can be explained by the three independent vanables in the model.Explanation / Answer
option C) is correct
R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. 0% indicates that the model explains none of the variability of the response data around its mean.