The Y-intercept represents the estimated average Y when X = 0.
In the context of a linear regression model, the Y-intercept is the value of the dependent variable (Y) when the independent variable (X) is equal to zero.
estimated average Y when X
= 0.
change in estimated average Y
per unit change in X.
predicted value of Y.
variation around the sample regression line.
1 answer
The Y-intercept represents the estimated average Y when X = 0.
In the context of a linear regression model, the Y-intercept is the value of the dependent variable (Y) when the independent variable (X) is equal to zero.