Have some fun with functions with a short activity that asks learners to first sort scatter plot in terms of their correlation. They then sort graphs of different types of functions in terms of key features, such as slope.

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...

More people, more garbage! Young environmentalists graph population growth against the amount of garbage generated per year and find a linear model that best fits the data. This is an older resource that could benefit from more recent...

Learners collect and analyze data. In this statistics instructional activity, pupils create a liner model of their data and analyze it using central tendencies. They find the linear regression using a spreadsheet.

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...

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...

In this scatterplots instructional activity, 9th graders solve 18 different types of problems related to scatterplots. First, they represent a two numerical variable on a scatterplot and describe how the data points are distributed....

The data says it's a wrap. Pupils work through four review questions with multiple parts dealing with bivariate data. Questions cover creating and interpreting two-way tables and scatter plots with lines of best fit. Scholars finish up...

Don't keep the resource at an arm's length. A hands-on activity has scholars measure the heights, arm spans, hair lengths, and foot lengths of their classmates. They create scatter plots to determine if there is a correlation between...

High schoolers investigate different types of correlation in this statistics lesson. 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 determine if there is an associationm in a scatter plot of data. They analyze data through predictios, comparisons, and applications. Students calculate the line of best fit using a graphing calculator. They display data in...

In this equation of a line worksheet, 9th graders solve and complete 4 different multiple choice problems. First, they use the median fit method to determine the equation that most likely represents the line of best fit for the data...

Learners investigate the differences between linear and exponential models.  In this linear and exponential models lesson, students make a table of given data.  Learners determine if the data is linear or exponential by...

In this statistical inquiry worksheet, students analyze and interpret a variety of diagrams such as a scatter plot, bar graph and pie charts. They create tables and other diagrams to support given data. This two-page worksheet contains 3...

Given the price of crude oil, gasoline, and diesel for the past several years, pupils plot the data to determine whether a correlation exists. Learners determine a regression line and predict the price of gasoline and diesel in the...

Decipher the danger of natural disasters. Using researched data, scholars work in groups to create data displays on the number of deaths from different types of natural disasters. They share their graphical representations with the class...

Working in groups, learners research four countries' populations over the past 30 years. Using the data collected, the teams find regression equations that best fit the data. Taking the regression equations, they then make predictions...

Is there a better way to display data to analyze it? Pupils represent data in a variety of ways using number lines, coordinate graphs, and tables. They determine that certain displays work with different types of data and use...

In this Algebra I/Algebra II worksheet, learners 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...

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...

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...

High schoolers 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...

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.

In this statistics worksheet, learners view 6 graphs to determine the correlation. Students then answer 4 questions that involve plotting data, determining a relationship, and making predictions.