Answer:-
To add a quadratic slope to the outcome in an R regression, you can include a squared term of your predictor variable in the model. For example, if your predictor is x, you can use: R Copy code model <- lm(y ~ x + I(x^2), data = your_data) Here, I(x^2) creates the squared term, representing the quadratic slope. This adjusts the regression to account for non-linear relationships between x and y. Review the summary of the model with summary(model) to assess significance. Visualizing the fit with ggplot2 or plot() helps confirm the quadratic relationship.
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