Question 1(D): You have performed a simple linear regression model to understand the effect of Number of Bedrooms on House Price. House Price is in Thousand $ and Number of Bedrooms is in number of bedrooms p-value Intercept Number of Bedrooms Coefficient 28.77 13.27 t-statistic 6.52 9.18

Question 1(D): You have performed a simple linear regression model to understand the effect of Number of Bedrooms on House Price. House Price is in Thousand $ and Number of Bedrooms is in number of bedrooms If the value of Rsquare=13% in the above simple linear regression model. Choose the correct statement from below: The effect of number of bedrooms on house price is 13% R-square measures the lack-of-fit of the regression model 13% of the variability in number of bedrooms is explained by house price using the linear regression model 13% of the variability in house price is explained by number of bedrooms using the linear regression model Question 1(D): You have performed a simple linear regression model to understand the effect of Number of Bedrooms on House Price. House Price is in Thousand $ and Number of Bedrooms is in number of bedrooms If the value of Rsquare=13% in the above simple linear regression model. Choose the correct statement from below: The effect of number of bedrooms on house price is 13% R-square measures the lack-of-fit of the regression model 13% of the variability in number of bedrooms is explained by house price using the linear regression model 13% of the variability in house price is explained by number of bedrooms using the linear regression model