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Exhibit 17

question 54

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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.When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level? A) Do not reject H<sub>0</sub>;Train is significant B) Reject H<sub>0</sub>;Train is significant C) Reject H<sub>0</sub>;Train does not seem to be significant D) Do not reject H<sub>0</sub>;Train does not seem to be significant 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.When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level? A) Do not reject H<sub>0</sub>;Train is significant B) Reject H<sub>0</sub>;Train is significant C) Reject H<sub>0</sub>;Train does not seem to be significant D) Do not reject H<sub>0</sub>;Train does not seem to be significant Refer to Exhibit 17.2.When testing the individual significance of Train in Model A,what is the test conclusion at 10% significance level?


Definitions:

Telecommuters

Individuals who work remotely, often from home, using the internet, email, and telephone to perform their tasks.

Flexible Work Schedules

Flexible work schedules are work arrangements that allow employees to vary their working hours and locations, offering a balance between work and personal commitments.

Telecommuting

Working remotely through electronic linkups to a central office.

Electronic Linkups

The connection or networking between computers or other electronic devices, allowing them to communicate or share information.

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