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. Note: The values of relevant test statistics are shown in parentheses below the estimated coefficients.
Define the alternative hypothesis for testing the joint significance of Exper and Exper × Gender in Model A?

Question

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.

Note: The values of relevant test statistics are shown in parentheses below the estimated coefficients.
Define the alternative hypothesis for testing the joint significance of Exper and Exper × Gender in Model A?

Quizplus · Accepted Answer

The Answer of 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. Note: The values of relevant test statistics are shown in parentheses below the estimated coefficients. Define the alternative hypothesis for testing the joint significance of Exper and Exper × Gender in Model A?

To Examine the Differences Between Salaries of Male and Female