Calculating Margin of Error for 95% Confidence Interval in Rent Predictions

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To determine the margin of error for a 95% confidence interval in rent predictions, the discussion centers on calculating the appropriate value, with options provided ranging from $57 to $228. The correct answer is identified as $114, derived from the standard error calculation, which typically involves multiplying by a critical value associated with the confidence level. Participants reference a statistical inference for regression test and suggest reviewing specific lecture slides for further clarification on the methodology. The conversation emphasizes the importance of understanding the standard error in relation to confidence intervals. Additional assistance is offered for those needing more guidance on the topic.
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To capture the actual Rent amount 95% of the time, predictions from the fitted equation should include a margin of error of about plus or minus ______ (round to the nearest ten dollars).
$128
$114 (answer)
$57
$228
Here's a pic of the table. How did they get the answer? http://picturetrail.com/sfx/album/view/24285022
I know k2= 95%. I know you do 2 * (standard error) but I don't see that on the table.
 
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Is this an inference for regression test that you're doing?
 
Yes I think so.
 
Check out :

http://www.stat.berkeley.edu/~thornton/STAT20/lec18slides4.pdf

focus on pages 3,4, and let us know if you need more help.
 
Please let me know if you need more help.
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...
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