SCENARIO 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:

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 value of the partial F test statistic is _____ for
H₀ : Variable X₂ does not significantly improve the model after variable X₁ has been included
H₁ : Variable X₂ significantly improves the model after variable X₁ has been included

Question

SCENARIO 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:

SCENARIO 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 Scenario 14-8,the value of the partial F test statistic is _____ for H<sub>0</sub> : Variable X<sub>2</sub> does not significantly improve the model after variable X<sub>1</sub> has been included H<sub>1</sub> : Variable X<sub>2</sub> significantly improves the model after variable X<sub>1</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 Scenario 14-8,the value of the partial F test statistic is _____ for
H₀ : Variable X₂ does not significantly improve the model after variable X₁ has been included
H₁ : Variable X₂ significantly improves the model after variable X₁ has been included

Quizplus · Accepted Answer

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 value of the partial F test statistic is _____ for H₀ : Variable X₂ does not significantly improve the model after variable X₁ has been included H₁ : Variable X₂ significantly improves the model after variable X₁ has been included

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