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 Model B: Salary = β0 + β1Educ + β2Exper + β3Gender + ε
Refer to Exhibit 17.2.What is the regression equation found by Excel for Model A?
A) = 4663.31 + 140.66Educ + 3.36Exper + 1.17Train + 615.15Gende
B) = 365.37 + 20.16Educ + 0.47Exper + 3.72Train + 97.33Gender
C) = 12.76 + 6.98Educ + 7.15Exper + 0.31Rrain + 6.32Gender
D)
Correct Answer:
Verified
Q37: For the model y = β0 +
Q44: Exhibit 17.2.To examine the differences between salaries
Q45: Exhibit 17.1.A researcher has developed the following
Q46: Exhibit 17.2.To examine the differences between salaries
Q47: Consider the model y = β0 +
Q49: The number of dummy variables representing a
Q50: For the model y = β0 +
Q51: Exhibit 17.2.To examine the differences between salaries
Q52: Exhibit 17.2.To examine the differences between salaries
Q53: Exhibit 17.1.A researcher has developed the following
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