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In Week 6, you'll learn all about creating simple linear, polynomial, and multilinear regression models, which basically are mathematical relationships between input variables (regressor variables) and an output variable (response). You will learn how to calculate confidence intervals on and perform hypothesis tests on model parameters and you will learn how to select the best possible regression model from several candidate models using backward elimination. Finally, you will learn how to perform analysis of variance (ANOVA) when you have more than two groups to compare. Week 6 has 9 screencasts with many in-video questions to test your understanding of the material and help you learn. The week concludes with Assignment 6. When you are ready, you must pass Quiz 6 in order to continue in the course. You will also want to pay close attention to the Week 6 Cheat Sheet (available to learners who purchase a Course Certificate) as this will serve as a great reference for Assignment 6 and Quiz 6. Quiz 6 requires you to perform statistical calculations in R, so be sure to prepare accordingly. Once you've completed Week 6, you'll be done with the course!