Part (c) Do you reject the null at a 5% level ✓ [Select] Yes No There are 6 parts to this question. You will be asked to provide just 1 answer in each part. You ask your Economics professor why attendance is mandatory in his class, and he tells you that there is a positive relationship between academic performance and attendance. To prove this to you, your professor uses a sample of 3,000 students from past summer courses he's taught and constructs two variables: a dummy variable (Y) that takes the value 1 if a student obtained a final exam grade of 80 or better (and is zero otherwise), and another variable (X) that represents the number of lectures (out of 10) the student attended during the summer. The probit regression results are Pr(Y=1/X)=(0.9 + 0.1 X) (0.25) (0.05) where the numbers in parentheses (below the coefficients) are the robust standard errors.

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Part (c)
Do you reject the null at a 5% level ✓ [Select]
Yes
No
There are 6 parts to this question. You will be asked to provide just 1 answer in each part.
You ask your Economics professor why attendance is mandatory in his class, and he tells you that there is a positive relationship
between academic performance and attendance. To prove this to you, your professor uses a sample of 3,000 students from past
summer courses he's taught and constructs two variables: a dummy variable (Y) that takes the value 1 if a student obtained a
final exam grade of 80 or better (and is zero otherwise), and another variable (X) that represents the number of lectures (out of
10) the student attended during the summer. The probit regression results are
Pr(Y 1X)*(0.9 + 0.1 X)
(0.25)
(0.05)
where the numbers in parentheses (below the coefficients) are the robust standard errors.
Transcribed Image Text:Part (c) Do you reject the null at a 5% level ✓ [Select] Yes No There are 6 parts to this question. You will be asked to provide just 1 answer in each part. You ask your Economics professor why attendance is mandatory in his class, and he tells you that there is a positive relationship between academic performance and attendance. To prove this to you, your professor uses a sample of 3,000 students from past summer courses he's taught and constructs two variables: a dummy variable (Y) that takes the value 1 if a student obtained a final exam grade of 80 or better (and is zero otherwise), and another variable (X) that represents the number of lectures (out of 10) the student attended during the summer. The probit regression results are Pr(Y 1X)*(0.9 + 0.1 X) (0.25) (0.05) where the numbers in parentheses (below the coefficients) are the robust standard errors.
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