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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:

Customized Approach

Tailored strategies or solutions that are designed to meet the specific needs or preferences of an individual or group.

Task Inventories

Comprehensive lists or databases of all tasks and responsibilities associated with a particular job or role, used for job analysis and competency modeling.

Work Behavior

The actions or conduct of an employee within a workplace setting, affecting productivity and workplace harmony.

Complex Statistical Analyses

The application of advanced statistical methods and techniques to analyze large and/or complicated data sets to uncover patterns, trends, and insights.

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