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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:

English Auction

A public sale where items are sold to the highest bidder, with bids openly increasing in value.

Reserve Price

The reserve price is the minimum price a seller is willing to accept for an item in an auction.

English Auction

An English auction is a common type of auction where bidders openly bid against each other, with each subsequent bid higher than the previous one, until the highest bid is reached, and the item is sold to the highest bidder.

Reservation Price

The highest amount of money a buyer is comfortable spending on a product or service, representing their limit before withdrawing from a transaction.

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