This contingency table:
I must provide estimates for the probability of severe acne at six weeks for each treatment and an estimate for the difference of those probabilities. Then I must report a 99% confidence interval.
Should I run a linear regression model, get the slope and intercept and then plug in the values?
I'm a little stuck at where to begin.
Hi, and welcome!
Please see the FAQ: What's a reproducible example (`reprex`) and how do I do one? Using a reprex, complete with representative data will attract quicker and more answers. Also, see the homework policy.
I suggest installing the caret package and studying the help page for the confusionMatrix function for examples of what's possible for data in this form.
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