Students are introduced to correlation between two variables and the line of best fit.

This page provides a good discussion of correlation coefficients (r,) which indicate the "strength of the linear association between variables." Includes formulas and scatter plots. Some prior knowledge of statistics might be helpful.

The correlation coefficient r measures the direction and strength of a linear relationship. Calculating r is pretty complex, so we usually rely on technology for the computations. We focus on understanding what r says about a scatterplot.

Based off of the hit television show NUMB3RS, this lesson has students create box-and-whisker plots for given data, and then determine which (if any) data points are outliers. Students determine outliers through two methods in this...

Use examples to determine and explain the linear correlation of independent and dependent variables.

This set contains statistics questions regarding bivariate data: scatter plots, the least-squares regression line, and their interpretation. The student is asked about the meaning of the various strengths and directions of linear...

In this Inquiry, students predict the best date to host a lilac blossom festival so that lilacs are in full bloom in the city where students live. Students are introduced to Project Budburst, a citizen science project in which volunteers...

Description and example of a scatter plot.

Based off of the hit television show NUMB3RS, this lesson introduces students to lines of best fit and their applications. While the extensions delve into correlation, the main lesson focuses only on collecting data, creating a...

The object of this project is for students to learn how to find univariate and bivariate statistics for sets of data. Also, the students will be able to determine if two sets of data are linearly correlated and to what degree. The...

Dozens of statistical terms are defined and illustrated in this glossary.

Students graph scatter plots and understand the concepts of correlation and least-squares regression. They also perform transformations to achieve linearity in the data plot.

Help Jane sell her Forrester! Using the data given, students will make an appropriate plot with well-labeled axes that would allow you to see if there is a relationship between price and age and between price and mileage. Students are...

[Free Registration/Login may be required to access all resource tools.] Use a calculator to create a scatter plot and to determine the equation of the line of best fit.