Suppose you estimate a regression equation Income = α + β1Experience + β2Business + β3Gender + β4Private + β5Experience*Gender + ε Income - annual income is in thousands of dollars (1 unit of income = $1000); Experience is in years; Business is a dummy variable set to 1 if person has a business degree, 0 otherwise; Gender is a dummy variable set to 1 for females, 0 for males; Private is a dummy variable set to 1 if a person attended private college, 0 otherwise; The data are on individuals who graduated from college within last 10 years. 1.) A. Use information from Question 1 . What is the average income of males with non-business degree, who went to public college, and who have 3 years of experience? (to 3 decimal points) B. Use information from Question 1 What is the average income of females with non-business degree, who went to public college, and who have 6 years of experience? (to 3 decimal points) C. Use information from Question 1. Which of the following statements is a correct interpretation of the slope dummy Experience*Gender? A. It shows that with each additional year of experience, females earn less. B. It measures the effect of gender on experience. C. It shows how much less females earn on average, regardless of their experience or education. D. It shows how the effect of experience differs between males and females.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

Suppose you estimate a regression equation

Income = α + β1Experience + β2Business + β3Gender + β4Private + β5Experience*Gender + ε

Income - annual income is in thousands of dollars (1 unit of income = $1000);
Experience is in years;
Business is a dummy variable set to 1 if person has a business degree, 0 otherwise;
Gender is a dummy variable set to 1 for females, 0 for males;
Private is a dummy variable set to 1 if a person attended private college, 0 otherwise; The data are on individuals who graduated from college within last 10 years.

1.) A. Use information from Question 1 .

What is the average income of males with non-business degree, who went to public college, and who have 3 years of experience? (to 3 decimal points)

B. Use information from Question 1

What is the average income of females with non-business degree, who went to public college, and who have 6 years of experience? (to 3 decimal points)

C. Use information from Question 1.

Which of the following statements is a correct interpretation of the slope dummy Experience*Gender? A. It shows that with each additional year of experience, females earn less. B. It measures the effect of gender on experience. C. It shows how much less females earn on average, regardless of their experience or education. D. It shows how the effect of experience differs between males and females.

D.

  1. Use information from Question 1.

    Suppose you wanted to find out if experience has a different effect on business majors vs. other majors. What variable would you need to add to the regression equation?

       

    A. Experience*Business

       

    B. Experience-squared

       

    C. Experience/Business

       

    D. (Experience - Business)

Coefficientsandard Err t Stat
P-value
Intercept
29.3
3.3
8.879 3.07E-18
Experienc
3.5
0.55
6.364
...
Business
11
2.34
4.701
Gender
-4.3
1.41
-3.049
...
Private
6.7
1.82
3.681
0.0199
Experienc
-0.8
0.13 -6.153
Transcribed Image Text:Coefficientsandard Err t Stat P-value Intercept 29.3 3.3 8.879 3.07E-18 Experienc 3.5 0.55 6.364 ... Business 11 2.34 4.701 Gender -4.3 1.41 -3.049 ... Private 6.7 1.82 3.681 0.0199 Experienc -0.8 0.13 -6.153
Expert Solution
steps

Step by step

Solved in 2 steps

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman