SCENARIO 13-4
a Real Estate Builder Wishes to Determine How

question 129

Multiple Choice

SCENARIO 13-4
A real estate builder wishes to determine how house size (House) is influenced by family income (Income) and family size (Size) .House size is measured in hundreds of square feet and income is measured in thousands of dollars.The builder randomly selected 50 families and ran the multiple regression.Partial Microsoft Excel output is provided below: $\begin{array}{lr}\hline{\text { Regression Statistics }} \\\hline \text { Multiple R } & 0.8479 \\\text { R Square } & 0.7189 \\\text { Adjusted R Square } & 0.7069 \\\text { Standard Error } & 17.5571 \\\text { Observations } & 50\\\hline \end{array}$

$\text { ANOVA }$
$\begin{array}{lrrrrr} & d f & \text { SS } & {M S} & F & \text { Significance } F \\\hline \text { Regression } & & & 37043.3236 & 18521.6618 & 0.0000 \\\text { Residual } & & 14487.7627 & 308.2503 & \\\text { Total } & & 49 & 51531.0863 & &\end{array}$

$\begin{array}{lrrrr}\hline & \text { Coefficients } & \text { Standard Error } &{t \text { Stat }} & \text { P-value } \\\hline \text { Intercept } & -5.5146 & 7.2273 & -0.7630 & 0.4493 \\\text { Income } & 0.4262 & 0.0392 & 10.8668 & 0.0000 \\\text { Size } & 5.5437 & 1.6949 & 3.2708 & 0.0020\\\hline \end{array}$

$\text { Also } \operatorname{SSR}\left(X_{1} \mid X_{2}\right) =36400.6326 \text { and } \operatorname{SSR}\left(X_{2} \mid X_{1}\right) =3297.7917$


-Referring to SCENARIO 13-4, when the builder used a simple linear regression model with house size (House) as the dependent variable and family size (Size) as the independent variable, he obtained an r2 value of 1.25%.What additional percentage of the total variation in house size has been explained by including income in the multiple regression?

• A)15.00%
• B)70.64%
• C)71.50%
• D)73.62%

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