Using the accompanying Home Market Value data, develop a multiple linear regression model for estimating the market value as a function of both the age and size of the house. State the model and explain R", Significance F, and p-values, with an alpha of 0.05. Click the icon to view the Home Market Value data. State the hypotheses for the multiple linear regression test. Ho: By = B2 = . . . = PK = 0 Hy: at least one Bj is not 0 State the model for predicting MarketValue as a function of Age and Size, where Age is the age of the house, and Size is the size of the house in square feet. MarketValue = + (D) Age + () Size (Type integers or decimals rounded to three decimal places as needed.) The value of R, ], indicates that % of the variation in the dependent variable is explained by these independent variables. (Type integers or decimals rounded to three decimal places as needed.) The Significance F is 0.000 (Type an integer or decimal rounded to three decimal places as needed.) The Significance F is less than the chosen level of significance. Therefore, reject the null hypothesis. The results suggest that at least one slope is not | 0. The Age p-value is. (Type an integer or decimal rounded to three decimal places as needed.) The Size p-value is 0.000 (Type an integer or decimal rounded to three decimal places as needed.) The results suggest that one variable in the model is/are significant.