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Nov 11, 2011 at 16:38 answer added varty timeline score: 1
Nov 11, 2011 at 16:22 history edited upabove CC BY-SA 3.0
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Nov 11, 2011 at 16:17 comment added varty What is the equation for the regression line? Could you please edit the question to write the correct equation? That should help you about the intercept.
Nov 11, 2011 at 16:01 comment added upabove I though about dividing 30000 by 66 to get the 1 unit and then using that as an intercept but i'm not sure if that's enough..
Nov 11, 2011 at 15:43 comment added varty @Dbr In that case you should edit the question to make it accurate/correct. You are not using all the information that has been given to you. What about the information on the earnings of someone who is 66 inches?
Nov 11, 2011 at 15:30 comment added upabove @varty yes I left that out so its log(earnings)=0.8*log(height)+error but I still don't know how to calculate the intercept and how to proceed to the second question
Nov 11, 2011 at 15:27 comment added varty Hint: The question says that log earnings can be predicted from log height. So, your answer is along the right lines but you are missing some logs here and there.
Nov 11, 2011 at 15:05 history edited whuber
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Nov 11, 2011 at 11:19 history tweeted twitter.com/#!/StackStats/status/134953493873168384
Nov 11, 2011 at 11:19 comment added upabove yes I also found the % strange but I just assumed that it means a 1 unit increase
Nov 11, 2011 at 11:10 comment added rolando2 It's an odd example in several ways. Normally we'd calculate b as the change in Y associated with a change of 1 (rather than of a certain %) in X. I don't see how to handle that % change as indicated. Also please note that the unstandardized coefficient, b, is different from the standardized one, Beta.
Nov 11, 2011 at 9:52 history asked upabove CC BY-SA 3.0