I have three datasets, let's call them X
and Y1
and Y2
. A scatterplot is produced out of them, with Y1
and Y2
sharing them same X
dataset (or support).
My question: if the two regression lines are different in both slope and intercept, is there a way to evaluate if the X
dataset has more influence on Y1
or Y2
?
Based on the image below, this is to say - which Y dataset is more influenced by the X dataset?
- Blue slope (Y1): -112
- Red slope (Y2): -90
EDIT
It is visible that an increase in X produces a decrease in both Y1 and Y2. My question could be interpreted as follows: which Y dataset decreases the most, given the increase in X? Is the slope everything I need?