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SCENARIO 17-3 a Financial Analyst Wanted to Examine the Relationship $1,000\$ 1,000

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SCENARIO 17-3 A financial analyst wanted to examine the relationship between salary (in $1,000\$ 1,000 ) and 4 variables: age (X1=Age)\left( X _ { 1 } = \mathrm { Age } \right) , experience in the field (X2=\left( X _ { 2 } = \right. Exper )) , number of degrees (X3=\left( X _ { 3 } = \right. Degrees )) , and number of previous jobs in the field ( X4=X _ { 4 } = Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output:

SUMMARY OUTPUT

 Regression Statistics  Multiple R 0.992 R Square 0.984 Adjusted R Square 0.979 Standard Error 2.26743 Observations 20\begin{array}{ll}{\text { Regression Statistics }} \\\text { Multiple R } & 0.992 \\\text { R Square } & 0.984 \\\text { Adjusted R Square } & 0.979 \\\text { Standard Error } & 2.26743 \\\text { Observations } & 20\end{array}


df SS  MS F Signif F Regression 44609.831641152.45791224.1600.0001 Residual 1577.118365.14122 Total 194686.95000\begin{array}{lrrrrr} & d f &{\text { SS }} & \text { MS } & F & \text { Signif } 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  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}{lrrrr} & {\text { Coeff }} & \text { StdError } & {\text { Stat }} & \text { P-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}
-Referring to Scenario 17-3, the analyst wants to use a t test to test for the significance of the
coefficient of X3X _ { 3 } . The value of the test statistic is ________.


Definitions:

Money Supply Growth Rate

The rate at which the total amount of money in circulation or in existence in a country grows.

Short-Run Phillips Curve

A graphical representation showing the inverse relationship between inflation and unemployment rates in the short term.

Shift Right

In economics, this refers to an increase in supply or demand in a market model, leading to a new equilibrium.

U.S. Net Exports

The difference between the value of goods and services the United States exports to other countries and the value of goods and services it imports from other countries.

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