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Day 7

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

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Day 7

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  1. Day 7 Linear Regression

  2. 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

  3. 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)

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

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

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