# Exploring bivariate numerical data

AP®︎ Statistics,

We use scatter plots to explore the relationship between two quantitative variables, and we use regression to model the relationship and make predictions. This unit explores linear regression and how to assess the strength of linear models.

This course contains 4 segments:

Making and describing scatterplots

Let's go over the basics of how to construct a scatter plot and describe the relationship we see with its form, direction, and strength.

Correlation coefficients

We'll learn to calculate and use the correlation coefficient r to describe the strength and direction of a linear relationship.

Least-squares regression equations

Once we see a linear pattern in a scatterplot, we fit a line to model the relationship and make predictions. But how do we know what line fits the data "best?" To solve this problem, we'll learn about residuals and least-squares regression .

Assessing the fit in least-squares regression

Let's learn how to measure how well a linear model actually fits the relationship in a scatterplot using residual plots and r-squared. We'll also look at how outliers can be influential points in least-squares regression.

Rating Not enough ratings 4 segments On Demand (Start anytime) Free Khan Academy On all desktop and mobile devices English Mathematics Math AP Statistics

## Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Federal - Regression Tester \$55k

REGRESSION TESTER \$61k

Regression Analyst \$69k

Senior Functional and Regression QA Analyst \$92k

## Write a review

Your opinion matters. Tell us what you think.