Multiple Choice
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with 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.
Excel partial outputs corresponding to these models are available and shown below.
Model A: Salary = β0 + β1Educ + β2Exper + β3Train + β4Gender + ε
Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + ε
The variable Train is deleted from Model A which results in Model B. Which of the following justifies this choice?
A) The adjusted R2 Model B is lower than the adjusted R2 of Model A, and the variable is individually significant in Model A.
B) The adjusted R2 of Model B is higher than the adjusted R2 of Model A, and the variable is individually significant in Model A.
C) The adjusted R2 of Model B is lower than the adjusted R2 of Model A, and the variable is not individually significant in Model A.
D) The adjusted R2 of Model B is higher than the adjusted R2 of Model A, and the variable is not individually significant in Model A.
Correct Answer:

Verified
Correct Answer:
Verified
Q2: Using a _ we can determine if
Q3: According to the Center for Disease Control
Q4: To encourage performance, loyalty, and continuing education,
Q5: A researcher wants to examine how the
Q6: The method of maximum likelihood estimation (MLE)
Q7: A bank manager is interested in assigning
Q8: To examine the differences between salaries of
Q9: Consider the regression equation <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB6618/.jpg" alt="Consider
Q10: A binary choice model is also referred
Q11: A dummy variable is also called an