Solved

To Examine the Differences Between Salaries of Male and Female

Question 56

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 + β1 Educ + β2 Exper + β3 Train + β4 Gender + ε 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 = 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 Which of the following is the regression equation found by Excel for Model A? A) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender B) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender C) = 12.76 + 6.98Educ + 7.15Exper + 0.31Train + 6.32Gender D) Model B: Salary = β0 + β1 Educ + β2 Exper + β3 Gender + ε 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 = 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 Which of the following is the regression equation found by Excel for Model A? A) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender B) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender C) = 12.76 + 6.98Educ + 7.15Exper + 0.31Train + 6.32Gender D) Which of the following is the regression equation found by Excel for Model A?


A) 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 = 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 Which of the following is the regression equation found by Excel for Model A? A) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender B) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender C) = 12.76 + 6.98Educ + 7.15Exper + 0.31Train + 6.32Gender D) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender
B) 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 = 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 Which of the following is the regression equation found by Excel for Model A? A) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender B) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender C) = 12.76 + 6.98Educ + 7.15Exper + 0.31Train + 6.32Gender D) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender
C) 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 = 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 Which of the following is the regression equation found by Excel for Model A? A) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender B) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender C) = 12.76 + 6.98Educ + 7.15Exper + 0.31Train + 6.32Gender D) = 12.76 + 6.98Educ + 7.15Exper + 0.31Train + 6.32Gender
D) 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 = 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 Which of the following is the regression equation found by Excel for Model A? A) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender B) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender C) = 12.76 + 6.98Educ + 7.15Exper + 0.31Train + 6.32Gender D)

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