To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with 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.
Excel partial outputs corresponding to these models are available
and shown below.
Model A: Salary = β0 + β1Educ + β2Exper + β3Train + β4Gender + ε
df | SS | MS | F | |
Regression | 4 | 28,045,960.12 | 7,011,490.03 | 43.23 |
Residual | 85 | 13,787,729.88 | 162,208.59 | |
Total | 89 | 41,833,690.00 | ||
Coefficients | Standard Error | t-stat | p-value | |
Intercept | 4,663.31 | 365.37 | 12.76 | 1.85E-21 |
Educ | 140.66 | 20.15 | 6.98 | 6.07E-10 |
Exper | 3.36 | 0.47 | 7.17 | 2.54E-10 |
Train | 1.17 | 3.72 | 0.31 | 0.7543 |
Gender | 615.15 | 97.33 | 0.32 | 1.16E-08 |
Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + ε
df | SS | MS | F | |
Regression | 3 | 28,029,969.88 | 9,343,323.29 | 58.21 |
Residual | 86 | 13,803,720.12 | 162,508.37 | |
Total | 89 | 41,833,690.00 | ||
Coefficients | Standard Error | t-stat | p-value | |
Intercept | 4,713.26 | 327.1967 | 14.40 | 1.21E-24 |
Educ | 139.54 | 19.7253 | 7.07 | 3.78E-10 |
Exper | 3.35 | 0.4649 | 7.20 | 2.10E-10 |
Gender | 609.25 | 94.9920 | 6.41 | 7.39E-09 |
A group of female managers considers a discrimination lawsuit if on average their salaries can be statistically proven to be lower by more than $500 than the salaries of their male peers with the same level of education and experience. Using Model B, what is the alternative hypothesis for testing the lawsuit condition?
HA:β3>500
HA:β3 ≠ 500
HA:β3≤500
HA:β3<500
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with the following variables consider...
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with 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 O for females Excel partial outputs corresponding to these...
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with 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 O for females. Excel partial outputs corresponding to these...
per Help Save & To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with the following variables considered: Salary the monthly salary (excluding fringe benefits and bonuses). Educ= the number of years of education, Experthe 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. Excel portial...
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