4.8 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 residuals, linearity, and constant variance. These assumptions will be discussed in Chapter 5, including how to assess their validity and what to do when they fail.