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Chapter 11: Inference for Regression

In this chapter, you'll learn how to make inferences about the unknown true relationship between two quantitative variables. The methods and logic they will learn in this chapter apply to a broad range of such questions.

Specifically, you'll learn:

  • That the slope of a regression line fitted from sample data will vary from sample to sample and what things affect this variability
  • How to compute the standard error of the estimated slope
  • How to construct and interpret a confidence interval for the slope
  • How to do a significance test that the slope is equal to a given value
  • How to know when to trust confidence intervals and tests
  • How to transform variables to make inferences more trustworthy