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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:

Assumption of Normality

This refers to the assumption that a dataset is normally distributed, often required in parametric statistical tests.

Dependent Variable

The variable in an experimental study that is expected to change or respond as a result of manipulations of the independent variable.

APA Format

A set of guidelines for writing and formatting research papers and reports, established by the American Psychological Association.

N.s.

Not significant; often used in statistical analysis to denote that the results do not reach a level of statistical significance.

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