Instruction 13-5
a Microeconomist Wants to Determine How Corporate Sales $\mathrm { R }$

question 87

Multiple Choice

Instruction 13-5
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.
SUMMARY
Regression Statistics
\begin{tabular} { l r } Multiple $\mathrm { R }$ & $0.830$ \\ \hline Square & $0.689$ \end{tabular}
R Square $\quad 0.689$
Adj. R Square $\quad 0.662$
Std. Error $\quad 17501.643$
Observations 26
ANOVA
$\begin{array} { l l l l l l } & \boldsymbol { d f } & \text { SS } & \text { MS } & \boldsymbol { F } & \text { Siguif } \boldsymbol { F } \\ \text { Regression } & 2 & 15579777040 & 7789888520 & 25.432 & 0.0001 \\ \text { Residual } & 23 & 7045072780 & 306307512 & & \\ \text { Total } & 25 & 22624849820 & & & \end{array}$
$\begin{array} { l l l l l } & \text { Coeff } & \text { StdError } & \boldsymbol { t } \text { Stat } & \boldsymbol { P } \text {-value } \\ \text { Intercept } & 15800.0000 & 6038.2999 & 2.617 & 0.0154 \\ \text { Capital } & 0.1245 & 0.2045 & 0.609 & 0.5485 \\ \text { Wages } & 7.0762 & 1.4729 & 4.804 & 0.0001 \end{array}$ Note: Adj.R Square = Adjusted R Square;Std.Error = Standard Error
-Referring to Instruction 13-5,what is the p-value for Capital?

• A)0.05
• B)0.01
• C)0.025
• D)None of the above.

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Definitions:

One-way ANOVA

A statistical test that compares the means of three or more independent groups to see if there is a significant difference among them.

Democrats

A member or supporter of the Democratic Party, one of the two major political parties in the United States, known for its liberal policies.

T-test

A statistical test used to compare the means of two groups and determine if they are significantly different from each other.

F-ratio

A statistic used to compare the variances between groups in an ANOVA test to determine if the groups come from populations with different variances.