Question

Which of the following regression standard errors would lead to the most precise (narrower) confidence or prediction intervals? ? 6.002 ? 11.07 ? 19 ? the size of the standard error is irrelevant 

          Which of the following regression standard errors would lead to the most
precise (narrower) confidence or prediction intervals?
? 6.002
? 11.07
? 19
? the size of the standard error is irrelevant
Which of the following regression standard errors would lead to the most precise (narrower) confidence or prediction intervals? ? 6.002 ? 11.07 ? 19 ? the size of the standard error is irrelevant

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Elementary Statistics a Step by Step Approach
Elementary Statistics a Step by Step Approach
Allan G. Bluman 9th Edition
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Which of the following regression standard errors would lead to the most precise (narrower) confidence or prediction intervals? 6.002 11.07 0.19 The size of the standard error is irrelevant
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Transcript

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00:01 The slope of regression line is equals to m is equals to 1 .43.
00:10 Then there is the error in slope that is sb1 is equals to 0 .26.
00:28 Then the number of observation or the number of sample size n is equals to 28.
00:36 And we have confidence interval of confidence level of 90 percent.
00:48 So from this we can have our significance level as 10 percent that is basically 0 .10.
01:02 And our degree of freedom here would be 28 minus 2 that is going to be 26.
01:12 Why because in case of regression model we use k plus 1 as our number of parameters.
01:22 So degree of freedom becomes n minus p that is here k plus 1...
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