I'm running simulation on a linear model. I get 1000 results and the results are put into a density chart. I do understand that the xaxis is the dependent variable and yaxis represent the kernel density. Yaxis is in decimal numbers like from 0 to 0.15 . How do I explain this to the other users? There is a 15% chance that the simulated values will fall between x1 and x2?
This is my simulation output:
summary(s) Model: ls Number of simulations: 1000 Values of X (Intercept) Volume 1 1 1699992 attr(,"assign")  0 1 Expected Values: E(Y|X) mean sd 50% 2.5% 97.5% 1 12.305 2.638 12.231 7.03 17.512