The intercept in the multiple regression model
A)should be excluded if one explanatory variable has negative values.
B)determines the height of the regression line.
C)should be excluded because the population regression function does not go through the origin.
D)is statistically significant if it is larger than 1.96.

Question

Quizplus · Accepted Answer

The intercept in a multiple regression model determines the value of the dependent variable when all the independent variables are set to zero, essentially setting the starting point or "height" of the regression line on the dependent variable axis.

The Intercept in the Multiple Regression Model