Test for Lack of Fit

[@Kevin.S.McCarter_PhD]

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[@lenoragray3897]

Very informative. How would be we find the expected value of SS_PE and SS_LOF?

[@chinesecultureinessence1534]

why n-2 not n-1 for SSE?

[@Kevin.S.McCarter_PhD]

Thank you for watching the video and also for posting a question!
In the context of linear regression, the number of degrees of freedom associated with SSE is n-p, where n is the total number of observations and p is the number of beta parameters in the model. In the simple linear regression model, p = 2, so that the number of degrees of freedom associated with SSE is n-2.

[@chinesecultureinessence1534]

thank for the prompt reply! :)@@Kevin.S.McCarter_PhD