Estimation by OLS using heteroskedasticity-consistent standard errors results in the following output: GPA, = 3.2 + 0.105.X, + 0.12FEMALE, + 0.1 INCOME, (0.04) (0.06) (0.1) (0.03) where the numbers in parentheses (below the coefficients) are the robust standard errors. The treatment effect is 0.105, so that access to a laptop is expected to increase GPA by O.105 points. Let's test whether or not this effect is statistically different from zero. The null hypothesis is Ho : B = 0. The alternative hypothesis is H1 : B, # 0. The t-statistic is I Select) and therefore we ISelect | v Ho at a 5% level. The p-value of this test is I Select] and therefore we [ Select ] - Ho at a 1% level. What is the difference in predicted GPA between a male student who was lent a laptop and a female student who was not lent a laptop but has the same family income as the male student? ( Select )
Estimation by OLS using heteroskedasticity-consistent standard errors results in the following output: GPA, = 3.2 + 0.105.X, + 0.12FEMALE, + 0.1 INCOME, (0.04) (0.06) (0.1) (0.03) where the numbers in parentheses (below the coefficients) are the robust standard errors. The treatment effect is 0.105, so that access to a laptop is expected to increase GPA by O.105 points. Let's test whether or not this effect is statistically different from zero. The null hypothesis is Ho : B = 0. The alternative hypothesis is H1 : B, # 0. The t-statistic is I Select) and therefore we ISelect | v Ho at a 5% level. The p-value of this test is I Select] and therefore we [ Select ] - Ho at a 1% level. What is the difference in predicted GPA between a male student who was lent a laptop and a female student who was not lent a laptop but has the same family income as the male student? ( Select )
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![Estimation by OLS using heteroskedasticity-consistent standard errors results in the following output:
GPA, =
3.2 + 0.105X, + 0.12FEMALE, + 0.1 INCOME,
(0.1)
(0.05)
(0.04)
(0.03)
where the numbers in parentheses (below the coefficients) are the robust standard errors.
The treatment effect is 0.105, so that access to a laptop is expected to increase GPA by O.105 points. Let's
test whether or not this effect is statistically different from zero. The null hypothesis is Ho : B1 = 0. The
alternative hypothesis is H1 : B1 # 0.
The t-statistic is I Select)
and therefore we I SelectI
Ho at a 5% level.
The p-value of this test is [Select )
and therefore we
[ Select ]
Ho at a
1% level.
What is the difference in predicted GPA between a male student who was lent a laptop and a female
student who was not lent a laptop but has the same family income as the male student?
( Select |](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fccb95dca-d87b-4b5d-b0ee-92de4e7acdde%2F361776a2-6b0e-4ef8-9e3e-3d6d2756c815%2Frowrada_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Estimation by OLS using heteroskedasticity-consistent standard errors results in the following output:
GPA, =
3.2 + 0.105X, + 0.12FEMALE, + 0.1 INCOME,
(0.1)
(0.05)
(0.04)
(0.03)
where the numbers in parentheses (below the coefficients) are the robust standard errors.
The treatment effect is 0.105, so that access to a laptop is expected to increase GPA by O.105 points. Let's
test whether or not this effect is statistically different from zero. The null hypothesis is Ho : B1 = 0. The
alternative hypothesis is H1 : B1 # 0.
The t-statistic is I Select)
and therefore we I SelectI
Ho at a 5% level.
The p-value of this test is [Select )
and therefore we
[ Select ]
Ho at a
1% level.
What is the difference in predicted GPA between a male student who was lent a laptop and a female
student who was not lent a laptop but has the same family income as the male student?
( Select |
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