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To Examine the Differences Between Salaries of Male and Female

question 63

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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 + β1Educ + β2Exper + β3Train + β4Gender + 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   Using Model B,what is the regression equation found by Excel for males? A)    = 4,713.2506 + 139.5366Educ + 3.3488Exper + 609.2505Gender B)    = 5,322.5011 + 139.5366Educ + 3.3488Exper C)    = 4,713.2506 + 139.5366Educ + 3.3488Exper D)   Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + 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   Using Model B,what is the regression equation found by Excel for males? A)    = 4,713.2506 + 139.5366Educ + 3.3488Exper + 609.2505Gender B)    = 5,322.5011 + 139.5366Educ + 3.3488Exper C)    = 4,713.2506 + 139.5366Educ + 3.3488Exper D)   Using Model B,what is the regression equation found by Excel for males?


Definitions:

Proportion of Employees

The ratio or percentage of employees fitting a specific criteria within the total workforce.

Participation

The act of taking part or being actively involved in an activity, event, or process.

Gas Price

The cost per unit volume of gasoline, which fluctuates based on economic factors, location, and taxes.

Confidence Interval

A spectrum of figures, based on statistical analysis of a sample, expected to encompass an unknown parameter of the entire population with a specified level of certainty.

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