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Real Estate Builder
a Real Estate Builder Wishes to Determine

question 76

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Real Estate Builder
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 50\begin{array}{l}\text { Regression Statistics }\\\begin{array} { l l } \text { Multiple R } & 0.865 \\\text { R Square } & 0.748 \\\text { Adjusted R Square } & 0.726 \\\text { Standard Error } & 5.195 \\\text { Observations } & 50\end{array}\end{array} ANOVA
 Real Estate Builder 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   \begin{array}{l} \text { Regression Statistics }\\ \begin{array} { l l }  \text { Multiple R } & 0.865 \\ \text { R Square } & 0.748 \\ \text { Adjusted R Square } & 0.726 \\ \text { Standard Error } & 5.195 \\ \text { Observations } & 50 \end{array} \end{array}  ANOVA     \begin{array} { | l | c c c c | }  \hline & \text { Coeff } & \text { St. Error } & \boldsymbol { t }\boldsymbol {Sat } & \boldsymbol { P } \text {-value } \\ \hline \text { Intercept } & - 1.6335 & 5.807 \mathrm { 8 } & - 0.281 & 0 .7798 \\ \text { Family Incame } & 0.4485 & 0.1137 & 3.9545 & 0 .0003 \\ \text { Family Size } & 4.2615 & 0.8062 & 5.286 & 0 .0001 \\ \text { Education } & - 0.6517 & 0.4319 & - 1.509 & 0 .1383 \\ \hline \end{array}  -{Real Estate Builder Narrative} Which of the following values for the level of significance is the smallest for which the regression model as a whole is significant:  \alpha = .00005,.001,.01,and .05?  Coeff  St. Error tSatP-value  Intercept 1.63355.80780.2810.7798 Family Incame 0.44850.11373.95450.0003 Family Size 4.26150.80625.2860.0001 Education 0.65170.43191.5090.1383\begin{array} { | l | c c c c | } \hline & \text { Coeff } & \text { St. Error } & \boldsymbol { t }\boldsymbol {Sat } & \boldsymbol { P } \text {-value } \\\hline \text { Intercept } & - 1.6335 & 5.807 \mathrm { 8 } & - 0.281 & 0 .7798 \\\text { Family Incame } & 0.4485 & 0.1137 & 3.9545 & 0 .0003 \\\text { Family Size } & 4.2615 & 0.8062 & 5.286 & 0 .0001 \\\text { Education } & - 0.6517 & 0.4319 & - 1.509 & 0 .1383 \\\hline\end{array}
-{Real Estate Builder Narrative} Which of the following values for the level of significance is the smallest for which the regression model as a whole is significant: α\alpha = .00005,.001,.01,and .05?


Definitions:

Stockholders' Right

Entitlements or privileges afforded to shareholders, including the right to vote on corporate matters, receive dividends, and share in the distribution of assets upon liquidation.

Dividends

Payments made by a corporation to its shareholder members, typically from profits or reserves.

Retained Earnings

The portion of net income left over after dividends are paid to shareholders, reinvested in the business or used to pay off debt.

Corporate Form

A legal structure for a business recognized as a separate legal entity from its owners, providing limited liability.

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