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SCENARIO 13-5
a Microeconomist Wants to Determine How Corporate Sales

question 231

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SCENARIO 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 OUTPUT
Regression Statistics
 Multiple R 0.830 R Square 0.689 Adjusted R Square 0.662 Standard Error 17501.643 Observations 26\begin{array} { l l } \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}
ANOVA
df SS  MS F Signif F Regression 215579777040778988852025.4320.0001 Residual 237045072780306307512 Total 2522624849820\begin{array} { l r c c c c } & d f & \text { SS } & \text { MS } & F & \text { Signif } F \\ \text { Regression } & 2 & 15579777040 & 7789888520 & 25.432 & 0.0001 \\ \text { Residual } & 23 & 7045072780 & 306307512 & & \\ \text { Total } & 25 & 22624849820 & & & \end{array}


 Coeff  StdError t Stat  P-value  Intercept 15800.00006038.29992.6170.0154 Capital 0.12450.20450.6090.5485 Wages 7.07621.47294.8040.0001\begin{array}{lrrrr} & \text { Coeff } & \text { StdError } & t \text { Stat } & \text { P-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}

-Referring to SCENARIO 13-5, what is the p-value for Wages?


Definitions:

Chess Set

A collection of game pieces and board used to play chess, consisting of 32 pieces: 16 each for two players, including kings, queens, rooks, bishops, knights, and pawns.

Probability

The measure or assessment of the likelihood of a particular event or outcome happening based on available evidence or statistical analysis.

Coin Flip

A basic form of randomness used as a method for making a decision, characterized by an equal probability of landing on heads or tails.

Probability

An estimate of the probability that a specific event will take place.

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