Regression Analysis Teacher Resources

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...

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...

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...

Will more deer result in more big game licenses? Scholars first research data on the number of deer and the number of big game licenses in Virginia between 1990 to 2009. They apply polynomial, exponential, and logarithmic regression to...

Launch your classes into a modeling lesson. Young scholars watch angry bird trajectories and make predictions based on their knowledge of quadratic functions. The lesson includes a series of questioning strategies to lead learners to the...

This short but information-packed presentation begins with a thorough review of how to calculate mean, median, and mode of a given data set. What makes it a unique lesson is the follow-up example and presentation of how these measures of...

Drink your coffee, then marvel over the rise of Starbucks. Scholars use provided data on the number of Starbucks stores from 1987 through 2014 to create scatter plots. They then determine the equation for the curve that best fits the...

Statistics is all about making inferences. Can you infer how your pupils will fair on their AP® exams? Collect your own data by giving them practice tests such as the 2015 free-response exam. The six-question test includes topics such as...

Don't watch the resource go down the drain. Scholars perform an experiment where they measure the amount of water that flows from a funnel over time. They use the data to create graphs and find the curves of best fit.

In this making predictions from data worksheet, students solve 15 short answer problems. Students determine average miles per gallon given data on miles traveled and gas used. Students make predictions using the data and a line of best fit.

Young schoolers explore the concept of linear regression. They determine the mass and density of salt water. Pupils add salt to water and record the density as salinity increases, and perform a linear regression on the data to model the...

Secondary learners investigate exponential functions in a real-world scenario. They collect data on the temperature of a cooling baked potato, enter the data into lists, and graph the data using a scatter plot before finding an...

Does a linear or exponential model fit the data better? Guide your class through an exploration to answer this question. Pupils create an exponential and linear model for a data set and draw conclusions, based on predictions and the...

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...

Allow your classes to research what interests them. An engaging STEM lesson, the fourth in the series of six, asks individuals to choose a topic of interest and analyze the data through regression models. The regression equations allow...

High schoolers analyze environmental science data using Math. They do research about renewable energy, gather data, create graphs and interpret their findings. Then the group presents their arguments persuasively using their findings to...

Examine trends in student-to-teacher ratios over time. Building from the first task in the two-part series, classes now explore the pattern of student-to-teacher ratios using a non-linear function. After trying to connect the pattern to...

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...

In this least square regression worksheet, students find solutions to given linear systems. They draw pictures, draw a vector and prove the solution. This two-page worksheet contains eleven problems, with some examples and explanations.

Why do I have to do bean counting if I'm not going to become an accountant? The 24th installment of a 35-part module has the class conducting experiments using beans to collect data. Learners use exponential functions to model this...

Fit functions to data by using an interactive app. Individuals plot a scatter plot and then fit lines of best fit and regression curves to the data. The use of an app gives learners the opportunity to try out different functions to see...

You are what you eat, or so they say! After surveying family and friends on a week of eating habits, learners analyze the data for patterns. They compare different variables such as fats and cost, fats and calories, or fats and LDLs. 

Different statistical models tell people unique information about data. The 35th lesson in the Crash Course Statistics series describes two different statistic models: ANOVA and Repeated Measures ANOVA. The narrator of a short video...

In this spaghetti palace worksheet sheet, students examine data and create a scatter plot.  They use their graphing calculator to find a linear model and a quadratic model for given information.  Students predict total...