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To Examine the Differences Between Salaries of Male and Female

question 56

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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?


Definitions:

Tract of Trees

A large area of land predominantly covered by forest or a specific type of tree, often used for timber or conservation purposes.

Harvest

The act of gathering mature crops from the fields, or by extension, reaping the benefits or results of any activity.

Investment Return

Investment return is the gain or loss on an investment over a specified time period, typically expressed as a percentage of the investment's initial cost.

Customer Acquisition Cost

the total cost associated with acquiring a new customer, including marketing and sales spending.

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