topic Re: Model Prediction Statistics in SAS Data Science

Model Prediction Statistics

Shivi82 — Wed, 25 Nov 2015 11:27:48 GMT

Hi All, I am running a linear model where price is the dependent var & weight is the independent var. While checking the output of the model under the parameter estimates i have the slope as 18381.22 and std error as 141.74. However the model does not show the significance value or the p value. What could be the reason. As per my understanding i cannot call outthis model as a fit model unless the significance/p value is availlable. Also Regression standardized residual plot shows outliers and the data is not normally distributed which also violates the assumption of a linear model. Please suggest if i am ok with my assumption. Regards, Shivi

Re: Model Prediction Statistics

pearsoninst — Wed, 25 Nov 2015 11:36:46 GMT

No matter what you should be able to see p value,can you close the session and reopen and re run the codes.

Re: Model Prediction Statistics

Shivi82 — Wed, 25 Nov 2015 12:04:01 GMT

Thanks i will do the same but does the residual plot signify anything in this case.

Re: Model Prediction Statistics

pearsoninst — Wed, 25 Nov 2015 12:13:04 GMT

Pls find it here..
http://docs.statwing.com/interpreting-residual-plots-to-improve-your-regression/