You will learn how to create interval estimates for the effect size as well as how to determine if the effect is significant

Throughout the course, you'll gain more practice with the dplyr and ggplot2 packages, and you will learn about the broom package for tidying models; all three packages are invaluable in data science

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

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

In this chapter you will learn about how to use the t-distribution to perform inference in linear regression models

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