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To Examine the Differences Between Salaries of Male and Female

question 105

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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 females? 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 females? 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 females?


Definitions:

Lordosis

A condition characterized by an excessive inward curvature of the spine, often in the lumbar region, leading to a pronounced "swayback" appearance.

Scoliosis

A condition characterized by an abnormal lateral curvature of the spine.

Kyphosis

A spinal disorder causing a forward rounding of the back, which may lead to a hunchback posture.

Symphysis

A type of joint in which the bones are joined by fibrocartilage, allowing for slight movement, such as the pubic symphysis.

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