Who can interpret model residual plots STATA?
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As per https://www.statisticshowto.com/model-residuals-in-stata/ — in STATA you can get a lot of helpful plotting capabilities from model residuals. They are helpful in testing model specification, making sense of parameter estimates, visualizing regression errors, and comparing outcomes of different regressions. This means you can get a lot of insights from model residuals, but you can’t interpret them all (as I did above). So if you want to interpret them, then it will require expert analysis
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In this Stata script, we see a typical residual plot from a logistic model, which can be interpreted by the following steps. We need to know: 1. Which parameters in the logistic regression model are significant and where they come from? We can test the significance of the parameters with the likelihood ratio test. click here for more info This is a two-sided test (i.e., we can’t reject H0 for all parameters at a significance level of α=0.05, and we can reject H0 for some parameters at α=0.05
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