Linear Regression
Linear Regression
This chapter extends the use of linear models to relationships with continuous explanatory variables, in other words, linear regression. The goal of the worked example (on wood hardness data) given in detail in this chapter is prediction, not hypothesis testing. Confidence intervals and prediction intervals are explained. Graphical approaches to checking the assumptions of linear model analysis are explored in further detail. The effects of transformations on linearity, normality, and equality of variance are investigated.
Keywords: linear regression, explanatory variables, prediction, hypothesis testing, graphical approaches, transformations, linearity, normality, equality of variance
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