We develop a regression model to predict the Assessed Value of houses, using the Size of the houses (in square feet) and the Age of the houses (in years). Below, we observe results of running a multiple regression: Regression Statistics Multiple R 0.909120107 R Square 0.826499369 Adjusted R Square 0.797582598 Standard Error 2168.165527 Observations 15 ANOVA df SS MS F Regression 2 268724699 134362349.5 28.58200 Residual 12 56411301.01 4700941.751 Total 14 325136000 Coefficients Standard Error t Stat P-value Intercept 163775.12 5407.173 30.2884 1.051E-12 Size 10.7251 3.0143 3.5580 0.0039 Age -284.254 83.5983 -3.4002 0.00526 Provide the proper interpretation for the slope of the size of houses (b1). Question 7 options: For a fixed house age, the average size of the houses is predicted to decrease by $10.73 for every year the houses age. For a fixed square footage, the average size of the houses is predicted to decrease by $284.25 for every year the houses age. For a fixed house age, the average size of the home is predicted to increase by $17.29 for every year the houses age. For a fixed number of homes, the average assessed value of the houses will remain the same, given age. For a fixed