Question

Which of the following is TRUE about the difference between analyzing residual plots for single variable regression models and analyzing residual plots for multiple regression models. Multiple regression residual plots give insight into multicollinearity across the independent variables, whereas multicollinearity cannot occur in a single variable regression model or its residual plot. Single variable regression plots give insight into the gross relationship between the independent and dependent variable, whereas multiple regression plots give insight into the net relationship, controlling for the other independent variables included in the regression model. Multiple regression plots give insight into both heteroskedasticity and non-linearity, whereas single regression plots only give insight into heteroskedasticity. In single regression plots, residuals are measured as the shortest distance from the regression line, whereas in multiple regression residuals are measured along the vertical axis.

Answer 1

Answer:

Second statement is correct.

Explanation:

Single variable regression plots give insight into Gross relationship between independent and dependent variable whereas multiple regression plots give insight into net relationship controlling for the other independent variables included in the model.