Hello, I need help with the significance F part. The rest I completed. Thank you.

SUMMARY OUTPUT Regression Statistics Multiple R 0.66943799 R Square 0.44814722 Adjusted R Square 0.41984708 Standard Error 7648.43898 Observations 42 ANOVA of SS MS F Significance F Regression 2 1852711035 9.26E+08 15.83551 9.237478-06 Residual 39 2281446134 58498619 Total 41 4134157169 Coefficients Standard Error tStat P-value Lower 95% Upper 95% Intercept 52012.5856 13808.17819 3.766796 0.000546 24082.9092 79942.262 House age -427.305269 552.2274414 -0.77378 0.443723 -1544.29069 689.68015 Square feet 30.5792365 6.029855974 5.071305 18-05 18.38270172 42.775771\f\fUsing 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: P1 = P2 = . . . = PK =0 Hy: at least one ; 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 = 52012.586 + ( - 427.305 ) Age + ( 30.579 ) Size (Type integers or decimals rounded to three decimal places as needed.) The value of RX, 0.448 , indicates that 44.8 % 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 (Type an integer or decimal rounded to three decimal places as needed.)