A regression analysis is conducted with 9 observations.
a. What is the df value for inference about the slope β?
b. Which two t test statistic values would give a P-value of 0.01 for testing H0: β=0 against Ha: β ≠0?
c. Which t-score would you multiply the standard error by in order to find the margin of error for a
99% confidence interval for β?
A regression analysis is conducted with 9 observations.
n=9
a) degree of freedom value for inference about the slope β is
df=n-2
df=9-2=7
Regression analysis is conducted with 9 observations. The degrees of freedom are 7.
b)
For testing H0: β=0 against Ha: β ≠0, the test statistic equals:
Where b is the sample slope and se denotes its standard error
Using t critical table for a two-tailed test with alpha = 0.01 and df (7), we get
t- critical = -3.499425 and 3.499425
Therefore, t test statistic = -3.499425, 3.499425
c)
(c) From part (b), we have calculated t critical value = 3.499
So, we will multiply the standard error by 3.499 to get the margin of error
t critical = 3.499
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