- Thread starter helppleasestats
- Start date
- Tags help me linearregression mcq

Have you ruled any of these out? Which do you think is correct and why?

I initially thought the answer would be D (Uncertainty in measuring Y) because we are trying to predict y from x, so the assumption is that we are uncertain about y to begin with, thus it does NOT contribute to the uncertainty. Just a logical guess, but I am not sure my reasoning makes sense?

Any help is greatly appreciated

Research the differences between Least Squares regression and Deming regression. That difference pertains to the 5th assumption and will lead you to the correct answer..

Given my extreme limited background knowledge in statistics (hence I am taking this course) I am still a bit confused as to how that helps me answer my question.

Initially I thought that if the fifth assumption is no autocorrelation then the correct answer should be A: Uncertainty due to variation of y around model. But the more I kept reading about the fifth assumption, the more confused I became and unsure about my answer.

Kindly appreciate your help.

That is the distinction between OLS and Deming regression. Deming regression assumes that there is uncertainty about the IVs as well as about the DVs. In Deming regression the residuals perpendicular to the regression line are minimized.

It makes perfect sense now that the X Axis (Independent variable) is fixed in OLS regression while in Deming the uncertainty is in both the IV and DV.

Thanks to you I can confidently and understandbly say that the correct answer to my question is C: Uncertainty in measuring X because the question asks : Which of the following is NOT assumed to contribute to uncertainty in predicting y from x in a standard Model I linear regression.