TABLE 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000) and 4 variables: age (X₁ = Age), experience in the field (X₂ = Exper), number of degrees (X₃ = Degrees), and number of previous jobs in the field (X₄ = Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output:
-Referring to Table 14-8, the analyst wants to use a t test to test for the significance of the coefficient of X₃. At a level of significance of 0.01, the department head would decide that β₃ ≠ 0.

Question

TABLE 14-8
A financial analyst wanted to examine the relationship between salary (in $1,000) and 4 variables: age (X₁ = Age), experience in the field (X₂ = Exper), number of degrees (X₃ = Degrees), and number of previous jobs in the field (X₄ = Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output: 
-Referring to Table 14-8, the analyst wants to use a t test to test for the significance of the coefficient of X₃. At a level of significance of 0.01, the department head would decide that β₃ ≠ 0.

Quizplus · Accepted Answer

The p-value for X₃ (Degrees) is 0.001, which is less than the level of significance of 0.01. Therefore, we can reject the null hypothesis and conclude that β₃ ≠ 0.

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