EngageNY
Analyzing Residuals (Part 1)
Just how far off is the least squares line? Using a graphing calculator, individuals or pairs create residual plots in order to determine how well a best fit line models data. Three examples walk through the calculator procedure of...
Concord Consortium
Here Comes the Sun
Many phenomena in life are periodic in nature. A task-based lesson asks scholars to explore one of these phenomena. They collect data showing the sunrise time of a specific location over the period of a year. Using the data, they create...
Curated OER
How Many Frogs?
Students explore the concept of linear regression. In this linear regression lesson, students find the line of best fit for a set of data pertaining to a frog population. Students use their line of best fit to predict the frog population...
American Statistical Association
EllipSeeIt: Visualizing Strength and Direction of Correlation
Seeing is believing. Given several bivariate data sets, learners make scatter plots using the online SeeIt program to visualize the correlation. To get a more complete picture of the topic, they research their own data set and perform an...
EngageNY
Tides, Sound Waves, and Stock Markets
Help pupils see the world through the eyes of a mathematician. As they examine tide patterns, sound waves, and stock market patterns using trigonometric functions, learners create scatter plots and write best-fit functions.
American Statistical Association
Don't Spill the Beans!
Become a bean counter. Pupils use a fun activity to design and execute an experiment to determine whether they can grab more beans with their dominant hand or non-dominant hand. They use the class data to create scatter plots and then...
Bowland
In the Olympics, are Women Improving Faster than Men?
Will the time come when women outperform men at the Olympic Games?Scholars investigate gender differences in Olympic Games performances. They study the historical participation of women and then analyze data to determine if women will...
Curated OER
The Way to Better Grades!
Pupils collect and analyze data. In this statistics activity, learners create a scatter plot from their collected data. They use, tables and graphs to analyze the data and mae decisions.
Curated OER
Exploring Linear Equations And Scatter Plots - Chapter 5 Review
Students complete rolling stocks experiment, and collect and enter data on the computer. They enter data on graphing calculators, complete scatter plot by hand with line of best fit, and discuss different graphing methods.
Curated OER
Baseball Relationships - Using Scatter Plots
Young scholars use graphing calculators to create scatter plots of given baseball data. They also determine percentages and ratios, slope, y-intercepts, etc. all using baseball data and statistics.
Curated OER
Scatter Plots
Seventh graders investigate how to make and set up a scatter plot. In this statistics instructional activity, 7th graders collect data and plot it. They analyze their data and discuss their results.
Curated OER
Lesson 6-7: Scatter Plots and Equations of Lines
In this scatter plot worksheet, students examine tables and write a linear equation that matches the table. Students graph linear equations. They read scatter plots, determine the trend line, and write a linear equation to...
Curated OER
Obstacles to Success: Misleading Data
Eleventh graders explore how data reported by country agencies can mislead the public intentionally or unintentionally. In this Cross Curricular activity, 11th graders analyze charts and graphs in order to draw conclusions. Students...
Curated OER
Scattered About
Students are introduced to the concept of scatter plots after reviewing the various types of graphs. In groups, they analyze the type of information one can receive from a scatter plot and identify the relationship between the x and y...
American Statistical Association
Scatter It! (Using Census Results to Help Predict Melissa’s Height)
Pupils use the provided census data to guess the future height of a child. They organize and plot the data, solve for the line of best fit, and determine the likely height and range for a specific age.
Concord Consortium
People and Places
Graph growth in the US. Given population and area data for the United States for a period of 200 years, class members create graphs to interpret the growth over time. Graphs include population, area, population density, and population...
PBL Pathways
Students and Teachers
Predict the future of education through a mathematical analysis. Using a project-based learning strategy, classes examine the pattern of student-to-teacher ratios over a period of years. Provided with the relevant data, learners create a...
American Statistical Association
You and Michael
Investigate the relationship between height and arm span. Young statisticians measure the heights and arm spans of each class member and create a scatter plot using the data. They draw a line of best fit and use its slope to explain the...
Curated OER
Exploring Quadratic Data with Transformation Graphing
Using a data collection device to collect data regarding a bouncing ball, young scholars use various features on graphing calculators to experiment with the parameters of the vertex form of the parabola and their effect on the shape of...
PBL Pathways
College Costs
Predict the year that college costs will double in your state using linear modeling. The first part of this two-part project based learning activity asks young mathematicians to use data from the College Board. They graph the data,...
Mascil Project
Sports Physiology and Statistics
If I want to build up my heart, where should I start? Science scholars use statistics in a sports physiology setting during an insightful experiment. Groups measure resting and active heart rates and develop a scatter plot that shows the...
Texas Instruments
Finding Linear Models Part III
Explore linear functions! In this Algebra I instructional activity, mathematicians graph data in a scatter plot and use a graphing calculator to find a linear regression and/or a median-median line. They use the model to make predictions.
Curated OER
Linear Regression and Correlation
Learners explore scatter plots. In this linear regression lesson, groups of pupils graph scatter plots and then find the line of best fit. They identify outliers and explain the correlation. Each group summarizes and shares their...
EngageNY
Analyzing Residuals (Part 2)
Learn about patterns in residual plots with an informative math instructional activity. Two examples make connections between the appearance of a residual plot and whether a linear model is the best model apparent. The problem set...