Solved

Exhibit 17

Question 54

Multiple Choice

Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and the following variables considered: Salary = the monthly salary (excluding fringe benefits and bonuses) ,
Educ = the number of years of education,
Exper = the number of months of experience,
Train = the number of weeks of training,
Gender = the gender of an individual;1 for males,and 0 for females.
Also,the following Excel partial outputs corresponding to the following models are available:
Model A: Salary = β0 + β1Educ + β2Exper + β3Train + β4Gender + ε Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and the following variables considered: Salary = the monthly salary (excluding fringe benefits and bonuses) , Educ = the number of years of education, Exper = the number of months of experience, Train = the number of weeks of training, Gender = the gender of an individual;1 for males,and 0 for females. Also,the following Excel partial outputs corresponding to the following models are available: Model A: Salary = β<sub>0</sub> + β<sub>1</sub>Educ + β<sub>2</sub>Exper + β<sub>3</sub>Train + β<sub>4</sub>Gender + ε Model B: Salary = β<sub>0</sub> + β<sub>1</sub>Educ + β<sub>2</sub>Exper + β<sub>3</sub>Gender + ε Refer to Exhibit 17.2.When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level? A) Do not reject H<sub>0</sub>;Train is significant B) Reject H<sub>0</sub>;Train is significant C) Reject H<sub>0</sub>;Train does not seem to be significant D) Do not reject H<sub>0</sub>;Train does not seem to be significant Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + ε Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and the following variables considered: Salary = the monthly salary (excluding fringe benefits and bonuses) , Educ = the number of years of education, Exper = the number of months of experience, Train = the number of weeks of training, Gender = the gender of an individual;1 for males,and 0 for females. Also,the following Excel partial outputs corresponding to the following models are available: Model A: Salary = β<sub>0</sub> + β<sub>1</sub>Educ + β<sub>2</sub>Exper + β<sub>3</sub>Train + β<sub>4</sub>Gender + ε Model B: Salary = β<sub>0</sub> + β<sub>1</sub>Educ + β<sub>2</sub>Exper + β<sub>3</sub>Gender + ε Refer to Exhibit 17.2.When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level? A) Do not reject H<sub>0</sub>;Train is significant B) Reject H<sub>0</sub>;Train is significant C) Reject H<sub>0</sub>;Train does not seem to be significant D) Do not reject H<sub>0</sub>;Train does not seem to be significant Refer to Exhibit 17.2.When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level?


A) Do not reject H0;Train is significant
B) Reject H0;Train is significant
C) Reject H0;Train does not seem to be significant
D) Do not reject H0;Train does not seem to be significant

Correct Answer:

verifed

Verified

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions

Q50: Exhibit 17.3.Consider the regression model, Humidity =

Q51: For the model y = β<sub>0</sub> +

Q52: Exhibit 17.2.To examine the differences between salaries

Q53: Exhibit 17.2.To examine the differences between salaries

Q55: Exhibit 17.4.A researcher wants to examine how

Q56: Exhibit 17.2.To examine the differences between salaries

Q58: For the model y = β<sub>0</sub> +

Q59: The major shortcoming of the general linear

Q93: A dummy variable is a variable that

Q97: Regression models that use a binary variable