Linear Modelingmedium
0:00.0
In a multiple linear regression analysis, suppose the second predictor variable is perfectly collinear with the first predictor variable (specifically, for all observations). What happens when you attempt to estimate the regression coefficients using ordinary least squares (OLS)?
In a multiple linear regression analysis, suppose the second predictor variable is perfectly collinear with the first predictor variable (specifically, for all observations). What happens when you attempt to estimate the regression coefficients using ordinary least squares (OLS)?