TABLE 17-3
A financial analyst wanted to examine the relationship between salary (in $1,000)and 4 variables: age (X 1 = Age),experience in the field (X 2 = Exper),number of degrees (X 3 = Degrees),and number of previous jobs in the field (X 4 = Prevjobs).He took a sample of 20 employees and obtained the following Microsoft Excel output:
SUMMARY OUTPUT
Regression Statistics ANOVA
-True or False: Referring to Table 17-3,the F test for the significance of the entire regression performed at a level of significance of 0.01 leads to a rejection of the null hypothesis.

Question

TABLE 17-3
A financial analyst wanted to examine the relationship between salary (in $1,000)and 4 variables: age (X 1 = Age),experience in the field (X 2 = Exper),number of degrees (X 3 = Degrees),and number of previous jobs in the field (X 4 = Prevjobs).He took a sample of 20 employees and obtained the following Microsoft Excel output:
SUMMARY OUTPUT
Regression Statistics  ANOVA  
-True or False: Referring to Table 17-3,the F test for the significance of the entire regression performed at a level of significance of 0.01 leads to a rejection of the null hypothesis.

Quizplus · Accepted Answer

The p-value for the F-test is 0.00022, which is less than 0.01, indicating significant evidence against the null hypothesis. Therefore, the null hypothesis is rejected and we can conclude that the regression model as a whole is significant.

TABLE 17-3 A Financial Analyst Wanted to Examine the Relationship Between Salary