How Cool It Is
This lesson involves creating an exponential regression equation to model the temperature of water as it cools.https://education.ti.com/en/activity/detail/how-cool-it-is_2
Hose Problem
Investigating the behaviour of water jets from a hose. Suitable for Year 10 extension or Year 11 students. Graphing parabolas, features of quadratic functions, regression lines. Using TI-Nspire.https://education.ti.com/en/activity/detail/hose-problem
FormulaPro
...ses a Equation Solving part (700+ equations grouped into 16 subjects/categories) and a Reference part. Made entirely in Lua, it provides the user a great equations-database browsing experience and an easy-to-use formula solver and reference part to quickly access "common" knowledge about scienc...https://education.ti.com/en/activity/detail/formulapro
Quadratic Equations with the CBL 2
Students will generate parabolas using the motion sensor. They will then determine the vertex form of the equation and compare it to the regression equation from the calculator.https://education.ti.com/en/activity/detail/quadratic-equations-with-the-cbl-2
Multiplicity of Zeros of Functions
In this activity for the TI-84 Plus CE Family, students will utilize graphs and equations of polynomial functions to determine the zeros of the functions and whether the functions cross the x-axis or is tangent to the x-axis at the zeros.https://education.ti.com/en/activity/detail/multiplicity-of-zeros-of-functions_1
Fitting an Equation to Bivariate Data
In this activity, students fit a linear least-square regression line to a population data. They explore various functions to model the given data.https://education.ti.com/en/activity/detail/fitting-an-equation-to-bivariate-data
Run me a Linear Regression
This activity is designed to give students the opportunity to estimate the least squares line given a set of points. The students are then able to check their "best fit" line by running a linear regression using the graphing calculator.https://education.ti.com/en/activity/detail/run-me-a-linear-regression
NUMB3RS - Season 3 - "Contenders" - Dialing Ben
In "Contenders," David's friend, Ben Ellis, is a suspect of two murders. The FBI can not find Ben when he stops using his cell phone. Charlie explains that Ben may be using a friend's cell phone and might be identified by his unique calling pattern, so he compares the cell phone records of Ben an...https://education.ti.com/en/activity/detail/numb3rs--season-3--contenders--dialing-ben
What is Linear Regression?
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.https://education.ti.com/en/activity/detail/what-is-linear-regression
What am I?
In this lesson, students will get a quick review or refresher on topics such as points, lines, planes, rays and line segments. This is a great warm-up or wrap-up.https://education.ti.com/en/activity/detail/what-am-i
Measurement and Linear Regression
In this activity, students will collect data by measuring line segments in both inches and centimeters. Students will plot the data, find the equation of the regression line and interpret the slope and y-intercept within the context of the exploration. Slope as a rate of change will be emphasi...https://education.ti.com/en/activity/detail/measurement-and-linear-regression
Maximizing the Area of a Rectangle
This activity is adapted from one of the TI books. Students measure lengths and widths of rectangles and record for the class to see. Each group's rectangle has the same perimeter, but different areas. After a discussion, students make predictions, a scatterplot, and quadratic regression. An exte...https://education.ti.com/en/activity/detail/maximizing-the-area-of-a-rectangle
Linear Programming and the Inequalz App
This activity uses the Inequality Graphing Application to take some of the frustration out of linear programming. It allows students to concentrate on the important part of the lesson, so they can learn the basic concepts with greater depth.https://education.ti.com/en/activity/detail/linear-programming-and-the-inequalz-app
Successive Differences
Students explore the relationships between the side length and perimeter of a square and the edge length and surface area of a cube by manipulating geometric models. They use the models to generate a dataset, calculate successive differences, and use them to determine which type of function best ...https://education.ti.com/en/activity/detail/successive-differences
Quadratic Regression with Transformation Graphing
Students will enter data into lists and graph scatter plots and perform a multiple regression on the plots. They will also make predictions or draw conclusions from the quadratic model.https://education.ti.com/en/activity/detail/quadratic-regression-with-transformation-graphing
How Fast Is Your Racer
Students become familiar with collecting and analyzing linear data. Students first perform a manually linear fit to their collected data, and are then introduced to the linear regression analysis capabilities of the calculator. The time taken for mousetrap racers to cover predetermined distances ...https://education.ti.com/en/activity/detail/how-fast-is-your-racer
Greatest Area Activity
In this activity students will explore area as it compares to length of rectangles with a fixed perimeter by creating lists of the possible dimensions and the areas of these rectangles. Students will then graph a scatterplot of the data, find the quadratic regression, and explore the table of val...https://education.ti.com/en/activity/detail/greatest-area-activity_1
Finding a Line of Best Fit
Students make a scatter plot of heart rate versus age data and draw lines of best fit using three different methods - by hand, using the upper and lower quartiles, and using the handheld's regression feature.https://education.ti.com/en/activity/detail/finding-a-line-of-best-fit
Exploring The Golden Arches
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 creating a scatter plot and regression equation.https://education.ti.com/en/activity/detail/exploring-the-golden-arches
Learning to Do Linear Regressions
This activity compares children's age to height to teach linear regressions. The handout includes notes for students and teachers with a step-by-step lesson on how to do 3 types of linear regressions - Best Fit line, Median Median Line and Least Squares Line.https://education.ti.com/en/activity/detail/learning-to-do-linear-regressions
Hurricane Hunters: Tracking Katrina and Rita
In this activity students will use data collected on Hurricanes Katrina and Rita to study functions, predictions, and probability models. Students will track the two hurricanes to see how the paths of the hurricanes affected the Gulf Coast of the United States. Students will use list, graphs, a...https://education.ti.com/en/activity/detail/hurricane-hunters-tracking-katrina-and-rita
Let's Play Ball with Families of Graphs
This activity is designed for students to use real-time data to generate a family of parabolic graphs. The data set will be generated by graphing the heights of a ball bounce with respect to time. Students will determine the regression equations to the graphs and determine their relationships. ...https://education.ti.com/en/activity/detail/lets-play-ball-with-families-of-graphs
Exploring Circles
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 predictions.https://education.ti.com/en/activity/detail/exploring-circles
The Calcumites are Coming! - TI-83
Students model the growth of a population and compare ideal growth with a population whose growth is limited. They use technology to find exponential and logistic regression equations and use them to plot models.https://education.ti.com/en/activity/detail/the-calcumites-are-coming--ti83
Olympic 100 Meter Dash Times: Women vs. Men
In this activity, students will analyze data from 1960 to 1992 to determine when mens' and womens' winning olympic times will be equal. Students use regression and systems of equations to answer a series of questions about the data.https://education.ti.com/en/activity/detail/olympic-100-meter-dash-times-women-vs--men