In Chapter 9 we show how to set up and produce an initial analysis of a regression model with several predictors. In this chapter we discuss ways to investigate whether the model assumptions are met and, when the assumptions are not met, ways to revise the model to better conform with the assumptions. We also examine ways to assess the effect on model performance of individual predictors or individual cases (observations).
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Heiberger, R. M., & Holland, B. (2015). Multiple Regression—Regression Diagnostics (pp. 345–375). https://doi.org/10.1007/978-1-4939-2122-5_11
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