In the first chapter, you will understand how and why to perform inferential (instead of descriptive only) analysis on a regression model.

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2

Simulation-based inference for the slope parameter

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In this chapter you will learn about the ideas of the sampling distribution using simulation methods for regression models.

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3

t-Based Inference For the Slope Parameter

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In this chapter you will learn about how to use the t-distribution to perform inference in linear regression models. You will also learn about how to create prediction intervals for the response variable.

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4

Technical Conditions in linear regression

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Additionally, you will consider the technical conditions that are important when using linear models to make claims about a larger population.

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5

Building on Inference in Simple Linear Regression

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This chapter covers topics that build on the basic ideas of inference in linear models, including multicollinearity and inference for multiple regression models.

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