A real estate builder wishes to determine how house size (House) is influenced by family income (Income), family size (Size), and education of the head of household (School). House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. The builder randomly selected 50 families and ran a multiple regression. The regression statistics are below: Regression Statistics R Square 0. 748 Adjusted R Square 0. 726 Standard Error 5 . 195 Observations 50 ANOVA Table df SS MS F Sig . F Regression 3605. 7736 901 . 4434 0 . 0001 Error 1214 . 2264 29. 9892 Total 49 4820.0000 Std. Coefficient Error T-test P-Value Intercept -1.6335 5. 8078 -0.281 0. 7798 Income 0 . 4485 0. 1137 3.9545 0 . 0003 Size 4. 2615 0 . 8062 5. 286 0 . 0001 School -0. 6517 0 . 4319 -1. 509 0 . 1383 Dependent variable is House. Referring to the Real Estate Builder regression results, which of the following values for the level of significance is the greatest for which all explanatory variables are significant individually