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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

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 in years. The builder randomly selected 50 families and ran the multiple regression. Microsoft Excel output is provided below:

Multiple R 0.865 R Square 0.748 Standard Error 5.195 Observations 50 ANOVA df SS MS F Signif F Regression 3605.7736 901.4434 0.0001 Residual 1214.2264 26.9828 Total 49 4820.0000 Coefficient StdError t Stat 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

Which of the independent variables in the model are significant at the 5% level?

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