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To Examine the Differences Between Salaries of Male and Female

question 85

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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   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)    = 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender 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   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)    = 140.66Educ + 3.36Exper + 1.17Train + 615.15Gender Which of the following is the regression equation found by Excel for Model A?


Definitions:

Worker Motivation

The level of energy, commitment, and creativity that a company's workers bring to their jobs.

Job Satisfaction

The level of contentment employees feel about their work, which can affect their performance and overall well-being.

Sexual Scripts

Sets of implicit rules that specify proper sexual behavior for a person in a given situation, varying with the person’s gender, age, sexual orientation, religion, social status, and peer group.

Unsafe Sex

Sexual activities that increase the risk of contracting sexually transmitted infections (STIs) or leading to unintended pregnancies due to the lack of protective measures.

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