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: 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 partial F test 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
has ________ and ________ degrees of freedom.

Question

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 partial F test 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 has ________ and ________ degrees of freedom.

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 partial F test 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
has ________ and ________ degrees of freedom.

Quizplus · Accepted Answer

The Answer of TABLE 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 Table 14-8,the partial F test 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 has ________ and ________ degrees of freedom.

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