SCENARIO 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000) and 2 variables: age (X 1 = Age) and experience in the field (X 2 = 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 Scenario 14-8,the estimated change in the mean salary (in $1,000)when an employee is a year older holding experience constant is .

Question

SCENARIO 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000) and 2 variables: age (X 1 = Age) and experience in the field (X 2 = 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 Scenario 14-8,the estimated change in the mean salary (in $1,000)when an employee is a year older holding experience constant is .

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The Answer of SCENARIO 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000) and 2 variables: age (X 1 = Age) and experience in the field (X 2 = 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 Scenario 14-8,the estimated change in the mean salary (in $1,000)when an employee is a year older holding experience constant is .

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