# Interpreting joint density distribution and contours

I have a landslide model and generated 1000 bootstrap samples of coefficients for 2 predictor variables (slope and log10_carea) using glm.

I have created a scatterplot of the joint distribution of the coefficients corresponding to slope and log10_carea and added contours to better show the joint density distribution.

what can i interpret from the scatterplot and contour lines?

Any insight will be appreciated. Thank you