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TABLE 14-5
a Microeconomist Wants to Determine How Corporate Sales

Question 211

Multiple Choice

TABLE 14-5
A microeconomist wants to determine how corporate sales are influenced by capital and wage spending by companies. She
proceeds to randomly select 26 large corporations and record information in millions of dollars. The Microsoft Excel output
below shows results of this multiple regression
 Regression Statistics  Multiple R 0.830 R Square 0.689 Adjusted R Square 0.662 Standard Error 17501.643 Observations 26\begin{array}{l}\text { Regression Statistics }\\\begin{array} { l r } \hline \text { Multiple R } & 0.830 \\\text { R Square } & 0.689 \\\text { Adjusted R Square } & 0.662 \\\text { Standard Error } & 17501.643 \\\text { Observations } & 26\end{array}\end{array}

ANOVA
 d f  S S  M S  F  Significance F Regression215579777040778988852025.4320.0001Residual 237045072780306307512Total 2522624849820\begin{array}{lcrrrr}\hline & \text { d f }&\text { S S } & \text { M S } & \text { F }&\text { Significance F } \\\hline \text {Regression} & 2 & 15579777040 & 7789888520 & 25.432 & 0.0001 \\\text {Residual }& 23 & 7045072780 & 306307512 & & \\\text {Total }& 25 & 22624849820 & & & \\\hline\end{array}

 Coefficients  Standard Error t Stat  p-value  Intercept 15800.00006038.29992.6170.0154 C apital 0.12450.20450.6090.5485 W ages 7.07621.47294.8040.0001\begin{array} { l c c c c } & \text { Coefficients } & \text { Standard Error} & \text { t Stat } & \text { p-value } \\\text { Intercept } & 15800.0000 & 6038.2999 & 2.617 & 0.0154 \\\text { C apital } & 0.1245 & 0.2045 & 0.609 & 0.5485 \\\text { W ages } & 7.0762 & 1.4729 & 4.804 & 0.0001 \\\hline\end{array}

-Referring to Table 14-5, when the microeconomist used a simple linear regression model with sales as the dependent variable and wages as the independent variable, she obtained an r2 value of 0.601. What additional percentage of the total variation of sales has been explained by including capital spending in the multiple regression?


A) 22.9%
B) 31.1%
C) 60.1%
D) 8.8%

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