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Exhibit 17

question 88

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Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and 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.
Also,the following Excel partial outputs corresponding to the following models are available:
Model A: Salary = β0 + β1Educ + β2Exper + β3Train + β4Gender + ε Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and 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. Also,the following Excel partial outputs corresponding to the following models are available: 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   Refer to Exhibit 17.2.Using Model B,what is the regression equation found by Excel for males? A)    = 4713.2506 + 139.5366Educ + 3.3488Exper + 609.2505Gender B)    = 5322.5011 + 139.5366Educ + 3.3488Expe C)    = 4713.2506 + 139.5366Educ + 3.3488Expe D)   Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + ε Exhibit 17.2.To examine the differences between salaries of male and female middle managers of a large bank,90 individuals were randomly selected and 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. Also,the following Excel partial outputs corresponding to the following models are available: 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   Refer to Exhibit 17.2.Using Model B,what is the regression equation found by Excel for males? A)    = 4713.2506 + 139.5366Educ + 3.3488Exper + 609.2505Gender B)    = 5322.5011 + 139.5366Educ + 3.3488Expe C)    = 4713.2506 + 139.5366Educ + 3.3488Expe D)   Refer to Exhibit 17.2.Using Model B,what is the regression equation found by Excel for males?


Definitions:

Doing Gender

The idea that gender is constructed through social interactions, emphasizing that gender is a performance or behavior rather than something innate.

Sex Discrimination

The unfair treatment of individuals based on their sex, typically manifesting in workplace, educational, and social environments.

Discrimination

Unfair treatment of individuals based on their race, gender, age, disabilities, sexuality, or religion rather than individual merit.

Emotional Well-Being

A state where an individual feels positive emotions, effectively manages stress, and experiences satisfaction in relationships and work.

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