How to choose parametric regression model with two predictors
I have a response variable (depicted on the y-axis in the following plots), that I want to regress using two predictors.
On each plot, one predictor is along the x-axis, the other is color-coded in the points.
If I were using a single predictor, I would model the relationship between the first predictor and the response variable as an exponential:
$$ y = a e^{-bx} + c $$
And the relationship with the second, using a quadratic relationship:
$$y = ax^2 + bx + c$$
How would you model both predictor relationships at the same time (considering also the interaction between them)?
Topic regression
Category Data Science