Points: 0.63 of 5 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 R2, Significance F, and p-values, with an alpha of 0.05 Click the icon to view the Home Market Value data. Save 2 31 1822 88393 3 34 1911 109546 4 30 1873 95240 5 33 1775 94024 6 34 1926 102765 7 33 2095 104103 8 33 1719 89395 9 35 1930 99587 10 30 1775 91901 11 33 1649 85292 12 33 1902 102626 13 32 1574 93173 14 34 1767 86919 15 31 2284 109475 16 33 2475 112782 State the hypotheses for the multiple linear regression test. 17 35 1602 83189 18 34 2179 113072 19 32 1689 95140 Ho B1 B2==k=0 20 31 1692 82756 21 33 1699 85589 H at least one , is not 0 22 27 1507 80433 23 26 1461 77312 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. 24 27 1639 77934 25 29 1652 87887 26 27 1460 79055 27 27 1496 80074 MarketValue 37,471.539+ (21.584) Age + (31.317) Size (Type integers or decimals rounded to three decimal places as needed.) 28 28 1525 90368 29 27 1750 89532 30 27 1547 81663 31 29 1446 87724 The value of R2, indicates that % of the variation in the is explained by 32 27 1476 86582 33 26 1456 91652 34 26 1424 78861 (Type integers or decimals rounded to three decimal places as 35 29 1566 87398 36 26 1691 91541 37 29 1600 82412 independent variables 38 29 1860 87520 39 28 1524 84458 dependent variable 40 27 1546 99015 41 27 1595 91521 42 26 1698 94073