Curated OER
Line & Scatter (What Would You Use: Part 2)
Learners discuss line graphs and scatter plots and the best situations in which to use them. Using the graphs, they determine the type of correlation between variables on a scatterplot. They create a scatterplot and line graph from a...
PHET
Least-Squares Regression
Less is best when looking at residuals. Scholars use an interactive to informally fit a linear regression line to data on a scatter plot. The interactive provides a correct best fit line with residuals and correlation coefficient to...
Teach Engineering
Determining Densities
Don't be dense—use a robust resource. The second installment of a five-part Floaters and Sinkers unit has learners determine the densities of several objects. As part of the activity, they learn the displacement method for finding...
Curated OER
Curve Fitting and the TI-85 Calculator
Seventh graders follow a step-by-step guide for using graphing calculator to determine equations which best fit data graphed. They gather data from various sites on the web, or they do searches to find information necessary to complete...
Curated OER
Correlate This!
Students investigate different correlations. In this algebra lesson, students analyze graphs and identify the lines as having positive, negative or no correlation. They calculate the line of best fit using a scatter plot.
Curated OER
Data Analysis
In this data analysis worksheet, students solve and complete 4 different types of problems. First, they reduce the data provided to find the means, and graph the means in a line graph. Then, students graph the data from each mixture...
Kenan Fellows
Climate Change Impacts
Turn up the heat! Young mathematicians develop models to represent different climates and collect temperature data. They analyze the data with regression and residual applications. Using that information, they make conclusions about...
Rice University
Introductory Statistics
Statistically speaking, the content covers several grades. Featuring all of the statistics typically covered in a college-level Statistics course, the expansive content spans from sixth grade on up to high school. Material...
Curated OER
Scatterplots
In this scatterplots learning exercise, learners look at 4 graphs and determine the correlation between the data. Students then review 8 scenarios and decided the type of correlation.
Curated OER
Statistics
In this statistics worksheet, students view 6 graphs to determine the correlation. Students then answer 4 questions that involve plotting data, determining a relationship, and making predictions.
Curated OER
Lines of Best Fit
Young scholars explore the concept of line of best fit. In this line of best fit lesson, students find lines of best fit in examples about riding your bike home from school and dentistry. Young scholars find two data points and find the...
EngageNY
End-of-Module Assessment Task - Algebra 1 (Module 2)
Check for understanding at the end of your descriptive statistics unit with an end-of-module assessment. It uses five questions to measure progress toward mastery of descriptive statistics standards. Each question is developed...
Curated OER
Scatterplots
Students evaluate equations and identify graphs. In this statistics lesson, students identify plotted points on a coordinate plane as having a positive, negative or no correlation. They complete basic surveys, plot their results and...
Curated OER
Measuring Mania
Young scholars rotate through stations in the classroom, completing different types of measurements. These measurements are placed into a spreadsheet, and a scatter plot is generated. They type an explanation of their results in...
Curated OER
M&M Exponential Activity
Learners create a scatter plot of their experimental data. In this algebra lesson, students use M&M's to determine an algebraic model. They discuss results in class.
Kenan Fellows
Let's Move
Find a statistical reason for a fresh start. Using a hypothetical scenario, individuals research statistical data of three different cities. Their goal? Find the best statistical reason for a business to move to a new location. Their...
Teach Engineering
Density Column Lab - Part 1
Mass and density — aren't they the same thing? This activity has groups use balance beams and water displacement to measure several objects. The pupils use the measurements to calculate the density of the objects.
Curated OER
Unit 13: Graphs, Correlation, Line of Best Fit
Young scholars explore the concepts of graphs, correlations, line of best fit, and the dipstick problem. In this graph, correlation, line of best fit and dipstick problem lesson, students solve problems on the above mentioned topics. ...
Virginia Department of Education
Middle School Mathematics Vocabulary Word Wall Cards
Having a good working knowledge of math vocabulary is so important for learners as they progress through different levels of mathematical learning. Here is 125 pages worth of wonderfully constructed vocabulary and concept review cards....
Curated OER
Line of Best Fit
High schoolers explore the concept of linear regression. In this linear regression lesson, students do a Barbie bungee activity where they collect linear data. High schoolers plot their data using a scatter plot. Students determine a...
Curated OER
Line of best fit
For this Algebra I/Algebra II worksheet, students determine the line of best fit for a scatter plot and use the information to make predictions involving interpolation or extrapolation. The one page worksheet contains one multiple...
Curated OER
Analyzing Graphs and Data
Students collect and analyze data. In this statistics lesson, students graph their data and make inferences from the collected data. They display their data using graphs, bar graphs, circles graphs and Venn diagrams.
Curated OER
Height versus Shoe Size
Students find a correlation between a person's height and his/her shoe size. They have access to entering data into lists on a graphing calculator and can complete scatter plots. Students read and interpret a scatter plot and use the...
Curated OER
Bias in Statistics
Young scholars work to develop surveys and collect data. They display the data using circle graphs, histograms, box and whisker plots, and scatter plots. Students use multimedia tools to develop a visual presentation to display their data.