7. To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): Ear = 610.5 + 160.2 • Female (9.4) (12.6) n = 5000, R2 = 0.086 (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not? Your answer: The evidence is enough to argue that there is discrimination. not enough to argue that there is discrimination. The reason is bias. (I need two words here)
7. To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the parentheses): Ear = 610.5 + 160.2 • Female (9.4) (12.6) n = 5000, R2 = 0.086 (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not? Your answer: The evidence is enough to argue that there is discrimination. not enough to argue that there is discrimination. The reason is bias. (I need two words here)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Please answer the following.
![7. To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress
weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the
parentheses):
Ear = 610.5 + 160.2 • Female
(9.4) (12.6)
n = 5000, R2 = 0.086
(b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?
Your answer:
The evidence is
enough to argue that there is discrimination.
not enough to argue that there is discrimination.
The reason is
bias. (I need two words here)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc8f166b9-77d1-4e37-8c7d-7ac85592fc3b%2F116e758c-257b-4713-b9a4-47f454b0ad11%2F90wx5kf.png&w=3840&q=75)
Transcribed Image Text:7. To test whether there is a significant difference in the mean weekly earnings between males and females (i.e., whether gender affects mean earnings), you regress
weekly earnings on a constant and a binary variable, which takes on a value of 1 for females and is 0 otherwise. The results were (standard errors are in the
parentheses):
Ear = 610.5 + 160.2 • Female
(9.4) (12.6)
n = 5000, R2 = 0.086
(b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?
Your answer:
The evidence is
enough to argue that there is discrimination.
not enough to argue that there is discrimination.
The reason is
bias. (I need two words here)
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