Data Visualization, Exploration, and Assumption Checking: Diagnosing and Solving Regression Problems I
In Chapters 2 and 3 we focused on understanding the basic linear regression model. We considered fundamental issues such as how to specify a regression equation with one, two, or more independent variables, how to interpret the coefficients, and how to construct confidence intervals and conduct significance tests for both the regression coefficients and the overall prediction. In this chapter, we begin our exploration of a number of issues that can potentially arise in the analysis of actual data sets. In practice, not all data sets are “textbook” cases. The purpose of the present chapter is to provide researchers with a set ...