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TABLE 14-8 A Financial Analyst Wanted to Examine the Relationship Between Salary

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TABLE 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000)and 2 variables: age
(X1 = Age)and experience in the field (X2 = Exper).He took a sample of 20 employees and obtained the following Microsoft Excel output: TABLE 14-8 A financial analyst wanted to examine the relationship between salary (in $1,000)and 2 variables: age (X<sub>1</sub> = Age)and experience in the field (X<sub>2</sub> = Exper).He took a sample of 20 employees and obtained the following Microsoft Excel output:   Also,the sum of squares due to the regression for the model that includes only Age is 5022.0654 while the sum of squares due to the regression for the model that includes only Exper is 125.9848. -Referring to Table 14-8,the value of the partial F test statistic is ________ for H<sub>0 </sub>: Variable X<sub>1 </sub>does not significantly improve the model after variable X<sub>2</sub> has been included H<sub>1 </sub>: Variable X<sub>1</sub> significantly improves the model after variable X<sub>2</sub> has been included Also,the sum of squares due to the regression for the model that includes only Age is 5022.0654 while the sum of squares due to the regression for the model that includes only Exper is 125.9848.
-Referring to Table 14-8,the value of the partial F test statistic is ________ for
H0 : Variable X1 does not significantly improve the model after variable X2 has been included
H1 : Variable X1 significantly improves the model after variable X2 has been included


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