Topic 12: When things aren’t quite linear: Polynomial ...

ggplot(dataSet, aes(x=x, y=sqrt(y))) + geom_point() + geom_smooth(method="lm") ... 1.726 on 498 degrees of freedom## Multiple R-squared: 0.2423, Adjusted R-squared: 0.2408 ## F-statistic: 159.2 on 1 and 498 DF, p-value: < 2.2e-16 ... How to interpret polynomial regression terms in R (2/2) For logistic models, you can plot the polynomial term vs ... ................
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