7. To test whether there is a significant difference in the mean weekly earnings between makes 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): 2 Ear 610.5+160.2Female, n=5000, R2 = 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?

Elements Of Modern Algebra
8th Edition
ISBN:9781285463230
Author:Gilbert, Linda, Jimmie
Publisher:Gilbert, Linda, Jimmie
Chapter2: The Integers
Section2.7: Introduction To Coding Theory (optional)
Problem 7E
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7. To test whether there is a significant difference in the mean weekly earnings
between makes 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):
2
Ear 610.5+160.2Female, n=5000, R2 = 0.086
(9.4) (12.6)
(a) Will you do a t or an F test? What is your conclusion?
(b) Are these results evidence enough to argue that there is discrimination against
females? Why or why not?
Transcribed Image Text:7. To test whether there is a significant difference in the mean weekly earnings between makes 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): 2 Ear 610.5+160.2Female, n=5000, R2 = 0.086 (9.4) (12.6) (a) Will you do a t or an F test? What is your conclusion? (b) Are these results evidence enough to argue that there is discrimination against females? Why or why not?
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