4.9 Assumptions

In Section 4.2 we discussed a number of assumptions about a linear regression model. The validity of regression coefficient estimates, confidence intervals, and significance tests based on a regression model depends on a number of assumptions: independent observations, normality of errors, linearity, and constant error variance. These assumptions will be discussed in Chapter 5, including how to assess their validity and what to do when they fail.