Regression Analysis Teacher Resources

In this linear regression worksheet, students use TI-85 calculators to complete linear regression expressions. Detailed instructions on the use of the calculator are provided. This one-page worksheet contains seven problems.

Students collect and Analyze data. For this statistics lesson, students identify the line of best fit of the graph. They classify lines as having positive, negative and no correlation.

What linear equation will fit this data, and how close is it? Through discussion and partner work, young mathematicians learn the procedure to determine a regression line in order to make predictions from the data. 

How does the calculator find a regression line? Don't leave your pupils wondering! The video goes through the process of calculating a regression line algebraically. The example uses a data set and use the formula for calculating...

Go around and around with slope. The class investigates tornadoes by watching videos, building a homemade tornado, and performing research on the Storm Prediction Center website. Groups gather data and create scatter plots for twisters...

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...

Determine how close the line is to the scatter plot. Clear video instruction shows how to plot a scatter plot and find the best fit line using the linear regression function on a calculator. Pupils use the information from the calculator...

Pupils investigate the air pollution situation in China by fitting a curve to historical data. They dig deeper into environmental issues that are of interest and provide a mathematical analysis of the issue. Class members develop a route...

Context makes everything better! Groups use real data to create models and make predictions. Classmates compare an exponential model to a linear model, then consider the real-life implications. 

Reduce testing anxiety by helping learners prepare for test day. Scholars complete six free-response questions from a released AP® exam. The questions test a variety of concepts including confidence intervals, frequency tables,...

How many nurses does it take to support one doctor? A project-based activity asks learners to analyze state data to answer this question. Classes create polynomial functions from the data of doctors and nurses over a seven-year...

Out with the old and in with the new. Learners use a set of prices of computer monitors from 1994 to make a prediction. They then use one current price and what they know about the old prices to make a more recent prediction. Their...

How high is too high for a belly flop? Learners analyze data to model the world record belly flop using a quadratic equation. They create a graph and analyze the key features and apply them to the context of the video.

Students identify the parts of an engine using a graph. In this statistics lesson, students make a graph from their collected data. They calculate the volume of a cylinder using a line of regression and a scatter plot.

Explore linear functions! In this Algebra I lesson, 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.

Using the TI-Nspire calculator, statisicians identify outliers and their effect on the least-squares regression line. In finding the line of best fit, they determine what points will affect the least squares regressions and what points...

Middle and high schoolers collect and analyze their data. In this statistics activity, pupils analyze graphs for linear regression as they discuss the relationship of the function to the number of rubber bands and the distance of the...

Travel back to medieval time where learning is just a stone's throw away! A video introduction shows a trebuchet (catapult-like machine) as it launches a rock into a lake. Learners use their quadratic modeling skills to predict the...

Some of the CO2 emitted by burning fossil fuels is removed from the atmosphere by natural sinks, such as the ocean. The fifth engaging lesson in the series of 21 examines the CO2 data from three very different locations. It then makes a...

In this linear regression activity, students graph linear regression problems using the TI-82 calculator. Instructions for using the calculator are provided. This two-page activity contains six problems.

In this business and statistics worksheet, learners read real-life business problems, arrange data, and identify the probability method best used to determine the answer. They identify the type of random sample, draw stem-and-leaf plots,...

Learners analyze data representing real life scenarios.In this algebra lesson, students collect, plot and analyze data using a graph. They use different methods to represent and present their 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 plan, students graph the residuals of sets of data that appear to have an...