You estimate a simple linear regression model using a sample of 62 observations and obtain the following results (estimated standard errors in parentheses below y=97.25+33.74*x (3.86) (9.42) You want to test the following hypothesis: HO: B2= 12, H1: 82e12. If you choose to reject the null hypothesis based on these results, the probability you have committed a Type ll error is between 05 and 10 between .01 and .025 between .02 and 05 impossible to determine without knowing the true value of $2 000 O

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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You estimate a simple linear regression model using a sample of 62 observations and obtain the following results (estimated standard errors in
parentheses below coefficient estimates):
y 97.25 +33.74* x
(3.86) (9.42)
You want to test the following hypothesis: HD: 32= 12, H1: B2 12. If you choose to reject the null hypothesis based on these results, the probability you
have committed a Type li error is,
between .05 and.10
0 between ,01 and .025
O between .02 and .05
impossible to determine without knowing the true value of 32
Transcribed Image Text:You estimate a simple linear regression model using a sample of 62 observations and obtain the following results (estimated standard errors in parentheses below coefficient estimates): y 97.25 +33.74* x (3.86) (9.42) You want to test the following hypothesis: HD: 32= 12, H1: B2 12. If you choose to reject the null hypothesis based on these results, the probability you have committed a Type li error is, between .05 and.10 0 between ,01 and .025 O between .02 and .05 impossible to determine without knowing the true value of 32
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