Day 7 Linear Regression.

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Presentation transcript:

Day 7 Linear Regression

Linear Regression Can we predict total charges from length of stay? regress totchg los regress rtotchg loglos Which model? Assumption: Residuals are normally distributed with constant variance

Saving Residuals and Fitted Values Plotting fitted line predict fity graph fity rtotchg loglos, s(io) c(l.) ylab xlab Making a residual plot predict resid, res graph resid loglos, xlab ylab yline(0)

Multiple Linear Regression Should we adjust for age? complications? mortality? gender? regress rtotchg loglos age mortality sept reint R-squared

Pros and Cons of Transform Violation of linearity assumption versus Ease of interpretation