Do homework grades really determine test scores? Learn whether lines of best fit, correlation coefficients, and residuals can be used to determine test scores when given homework grades. (It would certainly save teachers time in grading...

Is the gestation length of an animal a predictor of the average life expectancy of that animal? Learners analyze similar data for more than 50 different animals. They choose a data display and draw conclusions from their graphs.

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

If the line fits, use it. Using a Geogebra interactive, pupils plot points and try to find the best fit line. They assess the linear fit by analyzing residuals. A radio button allows participants to show the regression line and the...

High schoolers collect and graph data. In this statistics lesson, students analyze their plotted data using a scatter plot. They identify lines as having positive, negative or no correlation.

Your learners will practice many ways of describing data using coordinate algebra in this unit written to address many Common Core State Standards. Simple examples of different ways to organize data are shared and then practice problems...

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.

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...

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...

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...

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...

Develop a deeper understanding of statistics. The six released free-response items from the 2002 AP® Statistics Form B involve several concepts that are currently in the regular statistics standards. Teachers see how...

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...

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...

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 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. ...

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...

Students 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. Students find two data points and find the line of best...

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...

Students create a scatter plot of their experimental data. In this algebra instructional activity, students use M&M's to determine an algebraic model. They discuss results in class.