Other

Math

ELA

- Business
- Career and Technical Education
- Character Education
- Child Care
- Classroom Community
- Classroom Management
- Coaching
- Computer Science - Technology
- Critical Thinking
- Early Intervention
- Family Consumer Sciences
- For Administrators
- For All Subjects
- Gifted and Talented
- Handwriting
- Health
- Instructional Technology
- International Baccalaureate
- Library Skills
- Life Skills
- Occupational Therapy
- Oral Communication
- Other (Specialty)
- Physical Education
- Physical Therapy
- Problem Solving
- Products For TpT Sellers
- Professional Development
- Religion
- Robotics
- School Counseling
- School Psychology
- Special Education
- Speech Therapy
- Student Council
- Study Skills
- Test Preparation
- Tools for Common Core
- Vocational Education

- Relevance
- Best Seller
- Rating
- Price (Ascending)
- Price (Descending)
- Most Recent

showing 1-24 of 182 results

by

This is a fun student driven exponential growth M&M activity for a statistics class, using LSRLs for transformed data. Appropriate for an AP level statistics course or any other course that needs to use logarithm transformations in order to use least-squares regression lines. Students will nee

Subjects:

Grades:

Types:

by

Students will be looking at the correlation and the linear relationship between starting position and finishing position is a NASCAR race. They will also look at the correlation and relationship between finishing place and NASCAR points. Students will also interpret the slope of the the regression

Subjects:

Types:

CCSS:

The calculator steps for Linear Regression on the calculator can be very confusing. This handout lists them out as well as runs through a practice problem with students. I'm from Houston and this lesson fit in right when the Astro's were in the world series. I pulled some stats for 2 players but tho

by

A fun foldable to teach how to find the line of best fit, graph the line of best fit, find the correlation coefficient, graph a residual plot, and determine the goodness of fit.
The foldable was created using TI84's new operating system so if you haven't updated your calculators the instructions

Subjects:

Types:

HSF-LE.A.2
HSS-ID.C.7
This worksheet is designed to give students extra practice at using their graphing calculators to calculate Linear Regression Equations. In addition, after finding the equations, students are asked "extension questions" in which they must use the equation to answer questions a

Subjects:

Types:

CCSS:

This lesson/assessment provides an opportunity for students to use their mathematical abilities -- namely, their knowledge of scatter plots and linear regression lines -- to solve a mystery. The story lays out the scene of the crime, and students must then collect data from their peers and adults a

A set of 20 task cards focusing on all aspects of linear regressions. To complete the task cards students will use knowledge of linear regressions (line of best fit, least squares regression), correlation coefficients, and calculating residuals and their meaning. The bundle also includes an answer

Subjects:

Grades:

Types:

Students will visualize the relationship between two variables, look for correlation and speculate as to causality. They will explore the trend line as a set of statistics which summarize the data and allow for estimation of additional data points. They will use the calculator to find the line of be

Subjects:

CCSS:

This activity uses real life data to help students practice plotting data points, linear regression, correlation coefficients, and different types of correlation. Students love getting to guess the ages of famous celebrities!
The teacher passes out the student handout and shows the pictures one at

Subjects:

Types:

CCSS:

5 DAYS WORTH OF LESSON PLANS! 3 DAYS OF NOTES/WORKSHEETS AND A TEST REVIEW AND TEST!
This Linear Regression Unit contains:
• Day 1 Notes and Worksheet which covers line of best fit, using STAT in the graphing calculator, correlations from graphs, and understanding the correlation coefficient.
•

Subjects:

Types:

Many linear regression problems give students a table filled in with data. In this activity, students will collect their own data. They will use the Internet and then their graphing calculators to determine the linear equation that models flight distances and flight times.
Student Directions: Man

Types:

Many linear regression problems give students a table filled in with data. In this activity, students will collect their own data. They will use the Internet and then their graphing calculators to determine the linear equation that models height and weight for the basketball team of their choice.

Types:

This packet covers line of best fit, using STAT in the graphing calculator, correlations from graphs, and understanding the correlation coefficient. This lesson is perfect for a Common Core Math 1 class or Algebra 1.
The documents that are included are:
• Guided Notes Handout and Key
• Workshee

Subjects:

CCSS:

After teaching my students about scatterplots, correlation, and the line of best fit, I take a day for them to do a hands-on lab, in which they measure their height (in inches) and their forearm length (from the tip of their elbow, to the bony point on their wrist), and we plot the class data, write

Subjects:

Types:

by

Statistics Linear Regression on the TI 83 84 Graphing Calculator
This handout helps you teach your students to use the TI 83- 84 Graphing Calculator to enter data into lists, create a linear regression equation and to plot the equation along with the data. Easy to follow - already used successfully

Subjects:

Grades:

Types:

by

BUNDLE - Performance Task – Linear Regression – Big Business Projections
Now you can get more options and save money with this collection of all editions of Big Business Projections!
This set includes the Big Business Projections Performance Task in 7 different corporations editions. If you were t

Subjects:

Types:

After teaching my students about scatterplots, correlation, and the line of best fit, I take a day for them to do a hands-on lab, in which they measure their height (in inches) and their forearm length (from the tip of their elbow, to the bony point on their wrist), and we plot the class data, write

Here's a real life crime scene application of algebra and statistics for your students....
Human skeletal remains have been found on a construction site. Most of the bones have been crushed leaving only a pelvis, femur and tooth for students to examine. Students must identify who the remains belong

Subjects:

Grades:

Types:

This packet covers finding the slope and y-intercept from a table, interpreting slope and y-intercept, and finding the difference in y-intercepts.
The documents that are included are:
• Notes Handout and Key
• Worksheet and Key
I offer my entire linear regression unit for $9.99! Check out:
L

by

This regression project compares the QB statistics of Tom Brady and Peyton Manning. It asks the students to create a scatter plot, find the line of best fit and then to use that line of best fit to make predictions on the future.
The project asks students to take into account real life events and

Subjects:

Types:

In this fun, hands-on activity students conduct an experiment to determine how many pennies a piece of spaghetti can hold. After recording their results, students use their calculator to determine the line of best fit, the correlation coefficient, and the rate of change. Students must also interpr

Subjects:

Types:

CCSS:

by

This is a step-by-step, even key-by-key activity for students to complete a linear regression in the Ti-84 calculator. This one has been done for calculators with the latest update. If yours are older, please message me and I can send you the older version.
In this activity, I guide students thro

Subjects:

Grades:

Types:

Inside you will find directions, calculator screenshots, and key press history for finding Linear Regression with Correlation Coefficient Steps.

Subjects:

Guided Notes and Worksheet (with answer keys) which cover finding an equation from sequences, tricky function rules from a table (example: y = 5(x-1) + 2), predicting y values given x, finding the difference in observed and predicted values, and finding the percent of values that are different from

showing 1-24 of 182 results