Multiple Regression—More Than One Predictor
In Chapter 8 we introduce the algebra and geometry behind the fitting of a linear model relating a response variable to one or more explanatory (predictor) variables using the criterion of least squares. In this chapter we consider in more detail situations where there are two or more predictors.
KeywordsVariance Inflation Factor Prediction Interval Candidate Predictor Variable Plot Significant Regression Coefficient
Unable to display preview. Download preview PDF.