![]() In thisĪssess model fit, how to diagnose potential problems in our modelĪnd how to identify observations that have significant impact on model fit or Influential observations that have impact on the estimates of the coefficients. Need to check that our model fits sufficiently well and check for Therefore, before we can use our model to make any statistical inference, we Regression analysis are not met, we may have problems, such as biased coefficientĮstimates or very large standard errors for the logistic regressionĬoefficients, and these problems may lead to invalid statistical inferences. In order for our analysis to be valid, our model has to satisfy theĪssumptions of logistic regression. In the previous two chapters, we focused on issues regarding logistic regressionĪnalysis, such as how to create interaction variables and how to interpret the results of our
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