This activity allows students to use real data obtained by them to model quadratic equations. students can use the TI-83 and/or TI-84 and a motion detector to collect their data. The students will then manually fit both quadratic and...

In this activity, students analyze statistical data Using the calculator and the TI-InterActive! software. They perform regression on the data to find the life expectancy of people in Canada.

Using given nutritional information of popular items from McDonald's, the students will develop and test a conjecture based on the given information. The students will analyze the two-variable data using the graphics calculator by...

[Free Registration/Login may be required to access all resource tools.] In this lesson students draw a scatter plot of data, find and draw the function that best fits that data, and make predictions from that information. Students watch...

Explore the relationship between the center and radius of a circle and the equation of the circle. Collect data and determine regression equations related to various combinations of data, and use the regression equations to make...

Students can use lists of data and the correlation factor of various regressions to determine the best regression line.

This task addresses many standards regarding the description and analysis of bivariate quantitative data, including regression and correlation. Given a scatter plot, students will answer a variety of questions about linear relationships,...

In this dynamic data science activity, students use data to build binary trees for decision-making and prediction. Prediction trees are the first steps towards linear regression, which plays an important role in machine learning for...

In this activity, students represent and analyze climate data. They use linear regressions to understand the relationship between temperatures measured in the Fahrenheit and Celsius scales and examine conversion factors.

In this adventure, students will analyze the relationship between height and stride length, and then use that information to identify the biker who left the footprints. They create a scatter plot, find the linear regression equation for...

In this activity, students analyze statistical data using the calculator and the TI InterActive! software. They use linear regression to study the increase in levels of carbon dioxide emission over the years.

In this experiment you will attempt to reproduce Galileo's results using the inclined plane. You will test three hypotheses relating to motion on an incline. You will learn to draw a "best fit" or regression line of experimental data....

Students complete this Beer's Law activity in class. Students examine the attenuation of various thicknesses of transparencies. From this activity, students will understand that different substances absorb light differently. This can...

This unit gives students the opportunity to make use of linear models in order to make predictions based on real-world data. Students experience how engineers address incredible and important design challenges through the use of linear...

Students will enjoy this data collection and class analysis experiment involving the time it takes for a hand squeeze to travel around a circle of people. From organizing the activity to collecting the data to making a table and graphing...

Students find equations, which best-fit the data, using different regression models built into their calculators. The best method of handling this data, is to break the data into sections and fit different periods of time with different...

In this activity, students observe and graph data about human fetal growth rates. Students build a regression model based on the data and compare values with those of other mammals. They also compare the data to non-mammal species.

Cross curricular lines while integrating technology into your classroom to study a real-world application of logistic regression. This activity shows students how to enter data into their graphing calculators and perform a regression in...

In this activity, students will identify outliers that are influential with respect to the least-squares regression line. Students will describe the role of the location of a point relative to the other data in determining whether that...

The online assessment demonstrates knowledge of advanced mathematical concepts in Algebra II. The questions test students on linear functions. Topics include modeling real-world data with linear functions, scatterplots, and regression...

Students will construct a graph and a regression model which shows the relationship between wind speed and the force of the wind. The students will analyze the math model that fits the data to make predictions from the model.

Students will make scatter plots and find the appropriate regression equations that best fit the data.

In this activity, students compare human body mass with blood volume. They graph the data and build a regression model. They estimate their own blood volume and also predict volumes of blood for other animals.

Students use regression to forecast values from a data. They study exponential smoothing. They also use the program FORECAST to automate a multiplicative model.