Other
Nearpod: Scatterplots, Correlation & Lines of Best Fit
For this lesson on scatterplots, students will learn how to create the line of best fit and analyze scatterplots by learning about correlations and causation.
Illustrative Mathematics
Illustrative Mathematics: S Id Coffee and Crime
This task addresses many standards regarding the description and analysis of bivariate quantitative data, including regression and correlation. Given a scatter plot, students will answer a variety of questions about linear relationships,...
Texas Instruments
Texas Instruments: Bivariate Data
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...
Texas Education Agency
Texas Gateway: Interpreting Scatterplots
Given scatterplots that represent problem situations, the student will determine if the data has strong vs weak correlation as well as positive, negative, or no correlation.
Other
Correlation Coefficients
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.
Texas Instruments
Texas Instruments: Numb3 Rs: How Tall Is the Criminal?
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...
Khan Academy
Khan Academy: Describing Scatterplots (Form, Direction, Strength, Outliers)
Description and example of a scatter plot.
Texas Instruments
Texas Instruments: Numb3 Rs: "Take Out" Outliers
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...
Texas Instruments
Texas Instruments: Exploring Bivariate Data
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.
Illustrative Mathematics
Illustrative Mathematics: S Id.6 Used Subaru Foresters
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...
Texas Education Agency
Texas Gateway: Collecting Data and Making Predictions
Given an experimental situation, the student will write linear functions that provide a reasonable fit to data to estimate the solutions and make predictions.
BSCS Science Learning
Bscs: Budburst Lilac Festival
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...
Rice University
Hyper Stat Online Statistics Textbook: Chapter 3: Describing Bivariate Data
This chapter of an online textbook begins with a description of scatterplots, then focuses on the Pearson Product Moment Correlation.
CK-12 Foundation
Ck 12: Statistics: Linear Regression Equations
[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.
Alabama Learning Exchange
Alex: Statistically Thinking
The object of this project is for learners 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...
Other
Stat Soft: Statistics Glossary
Dozens of statistical terms are defined and illustrated in this glossary.
Texas Instruments
Texas Instruments: Boat Registration and Manatee Deaths in Florida
Students will explore the data on boat registrations and manatee deaths in Florida. They will use the data, the graph of the data and the line of best fit to make predictions about the relationship of the data.