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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:

ADH

Antidiuretic Hormone, also known as vasopressin, a hormone produced by the pituitary gland that regulates the body's retention of water by increasing the concentration of the urine.

Testosterone

A steroid hormone produced mainly in the testes, responsible for the development of male secondary sexual characteristics.

Spermatogenesis

The process by which sperm cells are produced and developed, typically in the seminiferous tubules of the testes.

FSH Secretion

The release of Follicle-Stimulating Hormone by the anterior pituitary, essential for reproductive processes such as the development of eggs in ovaries and sperm production.

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