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Need help What fraction of the choice of house size made by a buyer is explained by their Family Income, Family Size, and Education? About

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What fraction of the choice of house size made by a buyer is explained by their Family Income, Family Size, and Education? About 87% Not a whole lot O About 75% O 5.195 / 50 QUESTION 25 A real estate builder wishes to determine how house size is influenced by family income, family size, and education of the head of household. House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. A partial computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R 0.865 R Square 0.748 Adjusted R Square 0.726 Standard Error 5.195 Observations 50A Financial Consultant has classified his clients according to their gender and the composition of their investment portfolio (primarily bonds, primarily stocks, or a balanced. The number of clients falling into the various categories are shown in the following table: Portfolio Composition Gender Bonds Stocks Balanced Male 45 46 64 Female 48 47 64 One client is selected at random. What is the probability that this client's portfolio is primarily in Stocks? QUESTION 23 2.5 A Financial Consultant has classified his clients according to their gender and the composition of their investment portfolio (primarily bonds, primarily stocks, or a balanced. The number of clients falling into the various categories are shown in the following table: Portfolio Composition Gender Bonds Stocks Balanced Male 50 55 50 Female 59 48 72 What is the probability that a client's portfolio is primarily in Stocks given that the client is a female?A real estate builder wishes to determine how house size is influenced by family income, family size, and education level of the head of household. House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. A partial computer output is shown below. SUMMARY OUTPUT Regression Statistics Multiple R 0.865 R Square 0.748 Adjusted R Square 0.726 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 Coeff. St. Error t Stat P-value Intercept -1.6335 5.8078 -0.281 0.7798 Family Income 0.4485 0.1137 3.9545 0.0003 Family Size 4.2615 0.8062 5.286 0.0001 Education -0.6517 0.4319 -1.509 0.1383

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