Q3.1 Skill Builder: Equation 0 Points Grading comment: Provide the regression equation for the model corresponding to the R output.

1 )] @ gradescope.com (] [ 4 (@ R AT S ] S ST ero (- RNt 25/34 Questions Answered 1 question with unsaved changes => Q3 Home prices 0 Points Many variables have an impact on determining the price of a house. Using a dataset containing a sample of homes for sale in Statesboro, Georgia. Here's the list of variables in the dataset: price: Selling price of the house (in thousands of dollars). size: Size of the house (in square feet). Baths : Number of bathrooms. Bedrooms : Number of bedrooms. Garage : Number of garage spaces. age : Age of the house (in years). The R output is provided below: Coefficients: Estimate Std. Error t value Pr(>|t]) (Intercept) -152037 85619 -1.78 0.110 Baths 9530 40826 0.23 0.821 Size 139467 46.67 300 0015 Multiple R-squared: 0.711, Adjusted R-squared: 0.646 Q3.1 skill Builder: Equation 0 Points Provide the regression equation for the model corresponding to the R output