Learners practice generating parabolas with a motion sensor while determining the vertex form of the equation. They compare it to the regression equation from the calculator onto a data mate software. Each student completes several...

Using a data collection device to collect data regarding a bouncing ball, students use various features on graphing calculators to experiment with the parameters of the vertex form of the parabola and their effect on the shape of the...

High schoolers analyze the vertex form of a parabola and find an approximate fit of a model. They explain the quadratic parabola function and its properties by developing quadratic models. They use translation and dilation to change the...

Mathematicians use a CBR 2™ motion detector to determine their speed or velocity going down a playground slide. They also experiment with different ways to increase their speed going down the slide. Finally, students complete the Student...

Students collect height versus time data of a bouncing ball using the CBR 2™ data collection device. Using a quadratic equation they graph scatter plots, graph and interpret a quadratic function, apply the vertex form of a quadratic...

Learners explore data that be modeled by a logistic function. They have the opportunity to study real-life data and create a mathematical function to model the data and make a prediction.

Learners create constant speed versus motion graphs. They will perform linear regressions on their data to describe the graphs mathematically.

Young scholars explore linear functions in a crime solving context. They collect and analyze data using linear equations, then interpret the slope and intercepts from a linear model.

Students study exponential decay and its application to radiocarbon dating. In this exponential decay lesson, students use candy to model the time it takes for something to decay. Students also graph the data they collect and...

High Schoolers use the TI-83 calculator to produce a sequence, explore patterns and find a linear or quadratic equation for a given pattern. They use inductive reasoning to make conjectures about patterns. They find the Y-value of a...

High schoolers organize data from the USA TODAY Snapshot, "Is leisure time really shrinking?" into two scatter plots and determine the quadratic model for each scatter plot. They determine if these graphs intersect and learn the concept...

Learners explore quadratic and cubic functions that will model the relationship between air temperature and heat index at fixed relative humidity values. They also make generalizations and apply the findings using their TI-83 Plus or...

Students read about the changes in the "new money" and then create a graph to represent various combinations of currency produced.

In this activity, students will explore finding the line of best fit based on the sum of the squares of the residuals and determine what the linear regression line is.

[Free Registration/Login may be required to access all resource tools.] Make a scatter plot of data and find the line of best fit to represent that data.

The practice problem has learners sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

The practice problem has learners sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

Students sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

Students sketch a line of best fit, create a linear model, and compare both lines on a calculator. The given points are available in PDF format.

Students investigate the line of best fit and the regression feature of a graphing calculator. The example consists of a math graph with given points that are available in PDF format.

Students investigate the line of best fit and the regression feature of a graphing calculator. The example consists of a math graph with given points that are available in PDF format.

The practice problem explores the validity of the line of best fit and a linear regression model created on a graphing calculator. The given points are available in PDF format.

The practice problem explores the validity of the line of best fit and a linear regression model created on a graphing calculator. The given points are available in PDF format.

Students calculate a linear regression model using a graphing calculator. The given points are available in PDF format.