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Model Prediction Statistics

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Model Prediction Statistics

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


Residual Analysis.PNG

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‎11-25-2015 08:16 AM
Frequent Contributor
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Re: Model Prediction Statistics


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Frequent Contributor
Posts: 108

Re: Model Prediction Statistics

No matter what you should be able to see p value,can you close the session and reopen and re run the codes.
Frequent Contributor
Posts: 92

Re: Model Prediction Statistics

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

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‎11-25-2015 08:16 AM
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Posts: 108

Re: Model Prediction Statistics

☑ This topic is SOLVED.

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