Answer:-
To add a quadratic slope in R, you include a squared term for your predictor in the regression model. For example, if your predictor is x, you can write: R Copy code model <- lm(y ~ x + I(x^2), data = your_data) The I(x^2) term introduces the quadratic component. This is useful when your data shows a non-linear trend. Use summary(model) to check the results and assess the significance of the quadratic term. To visualize the fit, you can use plotting functions like ggplot2. Adding this term helps your model capture curvature in the relationship between variables.
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