I HAVE THE REST OF THE FILE WITH THE DATA IF YOU CAN SOLVE THIS!!! This database
ID: 2986866 • Letter: I
Question
I HAVE THE REST OF THE FILE WITH THE DATA IF YOU CAN SOLVE THIS!!!
This database contains information of a sample of 935 sales associates. You are trying to find out if years of education, years of experience, as well as age, gender and marital status has an effecton the weekly earnings of these employees. For instance, if an additional year of education affects salaries? Is gender or marital status relevant to explain weekly earnings?
a) Estimate a multiple linear regression of Salary on the independent variables Education, Experience, Age, Married and Gender. The regression equation is:
b) Write down the hypothesis that you are testing for the variables Education and Married and explain your conclusions (what does it mean to reject or not the null hypothesis, in plain english)
c) What portion of the variation in Weekly Salary is explained by the 5 independent variables?
d) Are the coefficients statistically significant at 95% confidence level? Interpret the coefficients of the variables Experience and Gender
e) Suppose that Matthew has 15 years of education, 10 years of experience, 35 years old, and he is married while Mary has 12 years of education, 5 years of experience, 30
f) What is the predicted difference in weekly salary between Matthew and Mary? What is your conclusion based on this difference?
variable
variable label
salary
weekly earnings
education
years of education
experience
years of work experience
age
age in years
married
1 if married
gender
1 if female
variable
variable label
salary
weekly earnings
education
years of education
experience
years of work experience
age
age in years
married
1 if married
gender
1 if female
Explanation / Answer
Here is the answer
https://docs.google.com/file/d/0ByGDC0zAeqvieDR3T205MXdEVHc/edit?usp=sharing
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