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 + β1 Educ + β2 Exper + β3 Train + β4 Gender + ε
Model B: Salary = β0 + β1 Educ + β2 Exper + β3 Gender + ε
Which of the following explanatory variables in Model A is most likely to be tested for the individual significance?
A) Educ
B) Exper
C) Train
D) Gender
Correct Answer:
Verified
Q28: The maximum likelihood estimation (MLE)produces estimates for
Q29: Which of the following variables is not
Q30: Consider the model y = β0 +
Q31: Consider the regression equation Q32: A researcher has developed the following regression Q34: To examine the differences between salaries of Q35: A dummy variable can be used to Q35: Quantitative variables assume meaningful _, whereas qualitative Q36: To avoid the dummy variable _, the Q38: To examine the differences between salaries of![]()
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