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To Examine the Differences Between Salaries of Male and Female

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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 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
Gender = the gender of an individual; 1 for males, and 0 for females
The regression results obtained for the models are as follows:
Model A: Salary = β0 + β1 Educ + β2 Exper + β3 Gender + β4 Exper × Gender + ε,
Model B: Salary = β0 + β1 Educ + β2 Exper + ε, are summarized in the following table. 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 Gender = the gender of an individual; 1 for males, and 0 for females The regression results obtained for the models are as follows: Model A: Salary = β<sub>0</sub> + β<sub>1</sub> Educ + β<sub>2</sub> Exper + β<sub>3</sub> Gender + β<sub>4</sub> Exper × Gender + ε, Model B: Salary = β<sub>0 </sub>+ β<sub>1</sub> Educ + β<sub>2</sub> Exper + ε, are summarized in the following table.   Note: The values of relevant test statistics are shown in parentheses below the estimated coefficients. What is the value of the test statistic for testing the joint significance of Exper and Exper × Gender in Model A? Note: The values of relevant test statistics are shown in parentheses below the estimated coefficients.
What is the value of the test statistic for testing the joint significance of Exper and Exper × Gender in Model A?


Definitions:

Cost Of Goods Manufactured

The total expense incurred to produce goods within a specified period, including materials, labor, and overhead.

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