# Chapter 9: Regression and Correlation

Created by: CK-12

## Introduction

In previous Chapters, you have learned about descriptive statistics, probabilities, and distributions of random variables. In this Chapter, you will learn how to recognize whether *two variables* have a relationship; where one variable can accurately predict the values of another variable. This relationship is called correlation, and in this Chapter you will learn about linear correlation and writing equations of regression lines, which can be used to predict values of one variable based upon an explanatory variable.

## Chapter Outline

- 9.1. Scatter Plots and Linear Correlation
- 9.2. Least-Squares Regression
- 9.3. Inferences about Regression
- 9.4. Multiple Regression

### Chapter Summary

## Summary

This chapter allows students to use correlation and regression coefficients in order to determine linear relationships between bivariate data.

### Image Attributions

## Description

This chapter allows students to use correlation and regression coefficients in order to determine linear relationships between bivariate data.

## Difficulty Level:

Advanced## Tags:

## Categories:

## Date Created:

Aug 13, 2012## Last Modified:

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