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Instruction 13-15
a Financial Analyst Wanted to Examine the Relationship

question 13

Short Answer

Instruction 13-15
A financial analyst wanted to examine the relationship between salary (in $1,000)and 4 variables: age (X1 = Age),experience in the field (X2 = Exper),number of degrees (X3 = Degrees),and number of previous jobs in the field (X4 = Prevjobs).He took a sample of 20 employees and obtained the following Microsoft Excel output:
SUMMARY
Regression Statistics
 Multiple R 0.992 R Square 0.984 Adj. R Square 0.979 Std. Error 2.26743 Observations 20\begin{array} { l l } \text { Multiple R } & 0.992 \\ \text { R Square } & 0.984 \\ \text { Adj. R Square } & 0.979 \\ \text { Std. Error } & 2.26743 \\ \text { Observations } & 20 \end{array}
ANOVA
df SS  MS F Signif F Regression 44609.831641152.45791224.1600.0001 Residual 1577.118365.14122 Total 194686.95000\begin{array} { l l l l l l } & \boldsymbol { d f } & \text { SS } & \text { MS } & \boldsymbol { F } & \text { Signif } \boldsymbol { F } \\ \text { Regression } & 4 & 4609.83164 & 1152.45791 & 224.160 & 0.0001 \\ \text { Residual } & 15 & 77.11836 & 5.14122 & & \\ \text { Total } & 19 & 4686.95000 & & & \end{array}
 Coeff  StdError t Stat P-Value  Intercept 9.6111982.779886383.4570.0035 Age 1.3276950.1149193011.5530.0001 Exper 0.1067050.142655590.7480.4660 Degrees 7.3113320.803241879.1020.0001 Prevjobs 0.5041680.447715731.1260.2778\begin{array} { l l l l l } & \text { Coeff } & \text { StdError } & \boldsymbol { t } \text { Stat } & \boldsymbol { P } \text {-Value } \\ \text { Intercept } & - 9.611198 & 2.77988638 & - 3.457 & 0.0035 \\ \text { Age } & 1.327695 & 0.11491930 & 11.553 & 0.0001 \\ \text { Exper } & - 0.106705 & 0.14265559 & - 0.748 & 0.4660 \\ \text { Degrees } & 7.311332 & 0.80324187 & 9.102 & 0.0001 \\ \text { Prevjobs } & - 0.504168 & 0.44771573 & - 1.126 & 0.2778 \end{array} Note: Adj.R Square = Adjusted R Square;Std.Error = Standard Error
-Referring to Instruction 13-15,the p-value of the F test for the significance of the entire regression is ________.


Definitions:

Unit Costs of Production

The total expense incurred by a company to produce, store, and sell one unit of a particular product or service.

Diseconomies of Scale

The condition in which a firm’s costs per unit of output increase as the firm increases in size or scale of operation.

Economies of Scale

Cost advantages that enterprises obtain due to their scale of operation, typically characterized by a reduction in average cost per unit when production is increased.

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