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To Examine the Differences Between Salaries of Male and Female

question 1

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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     The variable Train is deleted from Model A which results in Model B. Which of the following justifies this choice? A)  The adjusted R<sup>2 </sup>Model B is lower than the adjusted R<sup>2 </sup>of Model A, and the variable is individually significant in Model A. B)  The adjusted R<sup>2</sup> of Model B is higher than the adjusted R<sup>2</sup> of Model A, and the variable is individually significant in Model A. C)  The adjusted R<sup>2</sup> of Model B is lower than the adjusted R<sup>2</sup> of Model A, and the variable is not individually significant in Model A. D)  The adjusted R<sup>2 </sup>of Model B is higher than the adjusted R<sup>2 </sup>of Model A, and the variable is not individually significant in Model A. 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     The variable Train is deleted from Model A which results in Model B. Which of the following justifies this choice? A)  The adjusted R<sup>2 </sup>Model B is lower than the adjusted R<sup>2 </sup>of Model A, and the variable is individually significant in Model A. B)  The adjusted R<sup>2</sup> of Model B is higher than the adjusted R<sup>2</sup> of Model A, and the variable is individually significant in Model A. C)  The adjusted R<sup>2</sup> of Model B is lower than the adjusted R<sup>2</sup> of Model A, and the variable is not individually significant in Model A. D)  The adjusted R<sup>2 </sup>of Model B is higher than the adjusted R<sup>2 </sup>of Model A, and the variable is not individually significant in Model A. 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     The variable Train is deleted from Model A which results in Model B. Which of the following justifies this choice? A)  The adjusted R<sup>2 </sup>Model B is lower than the adjusted R<sup>2 </sup>of Model A, and the variable is individually significant in Model A. B)  The adjusted R<sup>2</sup> of Model B is higher than the adjusted R<sup>2</sup> of Model A, and the variable is individually significant in Model A. C)  The adjusted R<sup>2</sup> of Model B is lower than the adjusted R<sup>2</sup> of Model A, and the variable is not individually significant in Model A. D)  The adjusted R<sup>2 </sup>of Model B is higher than the adjusted R<sup>2 </sup>of Model A, and the variable is not individually significant in Model A. 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     The variable Train is deleted from Model A which results in Model B. Which of the following justifies this choice? A)  The adjusted R<sup>2 </sup>Model B is lower than the adjusted R<sup>2 </sup>of Model A, and the variable is individually significant in Model A. B)  The adjusted R<sup>2</sup> of Model B is higher than the adjusted R<sup>2</sup> of Model A, and the variable is individually significant in Model A. C)  The adjusted R<sup>2</sup> of Model B is lower than the adjusted R<sup>2</sup> of Model A, and the variable is not individually significant in Model A. D)  The adjusted R<sup>2 </sup>of Model B is higher than the adjusted R<sup>2 </sup>of Model A, and the variable is not individually significant in Model A. The variable Train is deleted from Model A which results in Model B. Which of the following justifies this choice?


Definitions:

Constructive Criticism

This is feedback provided in a helpful and supportive manner, aiming to encourage improvement rather than discouragement.

Federal Confidentiality

Regulations and practices designed to protect sensitive information from disclosure, especially relating to governmental operations and individual privacy.

Professionalism

The conduct, behavior, and attitude exhibited by professionals, characterized by ethical practices, competence, and courtesy.

Civility

Politeness and courtesy in behavior or speech.

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