SCENARIO 17-3 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 OUTPUT
Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.9920.9840.9792.2674320
Regression Residual Total df41519 SS 4609.8316477.118364686.95000 MS 1152.457915.14122F224.160 Signif F0.0001
Intercept Age Exper Degrees Prevjobs Coeff −9.6111981.327695−0.1067057.311332−0.504168 StdError 2.779886380.114919300.142655590.803241870.44771573 Stat −3.45711.553−0.7489.102−1.126 P-value 0.00350.00010.46600.00010.2778
-Referring to Scenario 17-3, the analyst wants to use a t test to test for the significance of the
coefficient of X3 . The value of the test statistic is ________.
Understand the principles of revenue retrieval analysis for product comparison.
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Identify applications and non-applications of sustainability in business practices.
Standard Deviation
A measure of the distribution of data points around the mean, indicating how spread out the data points are.
Frequency Distribution
An organized tabulation of the number of instances that each value or category of a variable occurs in a data set.
GMAT Scores
Numerical scores resulting from taking the Graduate Management Admission Test, used by graduate business schools for admissions purposes.
Mean Score
A statistical metric representing the average value of a set of numbers.