Scholars learn to create scatter plots and investigate any relationships that exists between the variables with a lesson that also show them that statistical relationships do not necessarily indicate a cause-and-effect...

Middle and high schoolers use a spreadsheet to graph data. In this graphing instructional activity, learners determine how two parameters are correlated. They create a scatter plot graph using a computer spreadsheet.

Class members investigate relationships between two variables in the seventh installment of a 16-part module that teaches scholars how to find and describe patterns in scatter plots. Young mathematicians consider linear/nonlinear...

Collect a variety of bivariate data. Groups determine sets of data that would provide a positive, negative, and no correlation. Team members gather their data through out the week. Scholars plot the data and determine the relationship...

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...

Middle schoolers investigate the validity of da Vinci's proportion theory by recording human measurements on scatter plots. In groups of three, they record each other's height and wingspan to create a Powerpoint presentation, chart, or...

Introduce the concept of a correlation coefficient using an interactive lesson. Learners begin by manipulating a correlation coefficient and watching a graph change to represent the new value. Questions help strengthen their...

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.

Does the number of calories you eat affect the total time you sleep? Young mathematicians tackle this question by collecting their own data and making comparisons between others in the class through building scatter plots and regression...

Math is all fun and games with this activity! Learners use an activity designed around hula hoops to collect data. They create scatter plots with their data and then analyze the graphs for correlation. 

Discover how trend lines can be useful in understanding relationships between variables with a lesson that covers how to informally fit a trend line to model a relationship given in a scatter plot. Scholars use the trend line to make...

Creating a definition may be easier than it sounds! Give your classes experience creating their own definition. Scholars examine the meaning of the compact-ness of a scatter plot and create their own definitions based on measurements. 

Students discuss scatter plots then create a class scatter plot using their heart rate at rest and their heart rate after a few minutes of aerobic exercises. Students copy the points plotted as a class and create individual graphs...

Students explore the concept of systems of equations. In this system of equations lesson, students enter data into lists on their calculators about 100 meter dash times. Students plot the points using a scatter plot and perform a linear...

Learners investigate data collection and analysis.  In this Algebra I lesson, students create a scatter plot and find the equation of best fit in a simulation of a leaking water pipe.

Using either data provided or data that has been collected, young mathematicians graph linear functions to best fit their scatterplot. They also analyze their data and make predicitons based on the data. This lesson is intended as a...

The more you text, the less you study. Have classes test this hypothesis or another question related to text messages. Using real data, learners use technology to create a scatter plot and calculate a regression line. They create a dot...

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...

Mississippi has both the highest obesity and poverty rate in the US. Does the rest of the data show a correlation between the poverty and obesity rate in a state? Learners tackle this question as they practice their skills of regression....

How many different ways can you model data? Scholars learn several in the final module in a series of nine. Learners model data with dot plots, box plots, histograms, and scatter plots. They also analyze the data based on the data...

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...

Playing with matches (unlit, of course) becomes an engaging learning experience in this fun instructional unit. Teach pupils how to apply properties of exponential functions to solve problems. They differentiate between quadratic and...

High schoolers investigate different types of correlation in this statistics activity. They identify positive, negative and no correlation as it relates to their data. They then find the line of best fit for the plotted data.

Students linearize data to determine if an exponential model is suitable. In this linearizing data to determine if an exponential model is suitable lesson, students graph the residuals of sets of data that appear to have an exponential...