(d) Lot size is measured in square feet. Do you think that another scale might be more appropriate? Why or why not? (e) The F-statistic for omitting BDR and Age from the regression is F = 0.08. Are...


(d) Lot size is measured in square feet. Do you think that another scale might be<br>more appropriate? Why or why not?<br>(e) The F-statistic for omitting BDR and Age from the regression is F = 0.08. Are<br>the coefficients on BDR and Age statistically different from 0 at a 10%<br>significance level?<br>

Extracted text: (d) Lot size is measured in square feet. Do you think that another scale might be more appropriate? Why or why not? (e) The F-statistic for omitting BDR and Age from the regression is F = 0.08. Are the coefficients on BDR and Age statistically different from 0 at a 10% significance level?
Consider the following estimated regression for 220 home sales from a community<br>in 2019 (estimated standard errors in parentheses)<br>Price<br>= 119.2 + 0.485BDR + 23.4Bath + 0.156Hsize + 0.002Lsize + 0.09Age<br>(0.011)<br>(2.61)<br>(8.94)<br>(0.00048)<br>(0.311)<br>R2 = 0.72<br>where Price denote the selling house price (measured in $1000s), BDR denote the<br>number of bedrooms, Bath denote the number of bathrooms, Hsize denote the<br>size of the house (in square feet), Lsize denote the lot size (in square feet), and<br>Age denote the age of the house (in years).<br>

Extracted text: Consider the following estimated regression for 220 home sales from a community in 2019 (estimated standard errors in parentheses) Price = 119.2 + 0.485BDR + 23.4Bath + 0.156Hsize + 0.002Lsize + 0.09Age (0.011) (2.61) (8.94) (0.00048) (0.311) R2 = 0.72 where Price denote the selling house price (measured in $1000s), BDR denote the number of bedrooms, Bath denote the number of bathrooms, Hsize denote the size of the house (in square feet), Lsize denote the lot size (in square feet), and Age denote the age of the house (in years).

Jun 07, 2022
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