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.
-True or False: Referring to Table 14-8,the analyst wants to use a t test to test for the significance of the coefficient of X₂.At a level of significance of 0.01,the department head would decide that β₂ ≠ 0.

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. -True or False: Referring to Table 14-8,the analyst wants to use a t test to test for the significance of the coefficient of X<sub>2</sub>.At a level of significance of 0.01,the department head would decide that β<sub>2</sub> ≠ 0.

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.
-True or False: Referring to Table 14-8,the analyst wants to use a t test to test for the significance of the coefficient of X₂.At a level of significance of 0.01,the department head would decide that β₂ ≠ 0.

Quizplus · Accepted Answer

Without the actual values from Table 14-8, we cannot determine if the t test result is significant at the 0.01 level, so we cannot conclude that β₂ ≠ 0.

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