Question 3 You observe data on 500 fruit pickers. Each picker works eight hours in the field. The variable kg represents the amount a worker harvested per day in kilograms. The variable xper represents the years of experience, oge refers to the age of a harvest hand, and fem is a dummy variable equal to one if a person is female and zero otherwise. You obtain the following regression results (standard errors in parentheses): kg- 9.27 +0.15zper - 0.008 age + 0.02 fem x rper- 0.5 fem. (0.012) (0.528) (0.0) (0,177) The estimates mean that one more year of experience leads to greater gains (in terms of kg harvested) for women than for men. True
Question 3 You observe data on 500 fruit pickers. Each picker works eight hours in the field. The variable kg represents the amount a worker harvested per day in kilograms. The variable xper represents the years of experience, oge refers to the age of a harvest hand, and fem is a dummy variable equal to one if a person is female and zero otherwise. You obtain the following regression results (standard errors in parentheses): kg- 9.27 +0.15zper - 0.008 age + 0.02 fem x rper- 0.5 fem. (0.012) (0.528) (0.0) (0,177) The estimates mean that one more year of experience leads to greater gains (in terms of kg harvested) for women than for men. True
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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![Question 3
You observe data on 500 fruit pickers. Each picker works eight hours in the field. The
variable kg represents the amount a worker harvested per day in kilograms. The
variable xper represents the years of experience, oge refers to the age of a harvest
hand, and fem is a dummy variable equal to one if a person is female and zero
otherwise. You obtain the following regression results (standard errors in
parentheses):
kg- 9.27 +0.15zper - 0.008 age + 0.02 fem x rper- 0.5 fem.
(0.012)
(0.52)
(0.05)
(0.01)
(0.127)
The estimates mean that one more year of experience leads to greater gains (in
terms of kg harvested) for women than for men.
True
False](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F2f4bfb1e-78a0-4ecf-8d6b-d83b4b731dc8%2F86320d68-9214-434f-8ed7-41845c999a07%2Fmkno945_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Question 3
You observe data on 500 fruit pickers. Each picker works eight hours in the field. The
variable kg represents the amount a worker harvested per day in kilograms. The
variable xper represents the years of experience, oge refers to the age of a harvest
hand, and fem is a dummy variable equal to one if a person is female and zero
otherwise. You obtain the following regression results (standard errors in
parentheses):
kg- 9.27 +0.15zper - 0.008 age + 0.02 fem x rper- 0.5 fem.
(0.012)
(0.52)
(0.05)
(0.01)
(0.127)
The estimates mean that one more year of experience leads to greater gains (in
terms of kg harvested) for women than for men.
True
False
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