Data and Regression Project
The Project Center
0 Followers
Grade Levels
9th - 12th
Subjects
Resource Type
Standards
CCSSHSA-CED.A.2
CCSSHSA-REI.A.1
CCSSHSF-IF.B.4
CCSSHSF-BF.A.1
CCSSHSF-LE.A.1
Formats Included
- Google Docs™
The Project Center
0 Followers
Made for Google Drive™
This resource can be used by students on Google Drive or Google Classroom. To access this resource, you’ll need to allow TPT to add it to your Google Drive. See our FAQ and Privacy Policy for more information.
Description
Sample includes directions. Actual product includes directions, rubric, and student worksheet.
In this project students will generate a data set of two potentially correlated variables. They will then analyze this data with regression equations, residuals, and correlation coefficients. This is a great project to get to know what interests your students and a good chance for student collaboration. A great chance for PBL in the math classroom as well.
Total Pages
Answer Key
N/A
Teaching Duration
N/A
Report this resource to TPT
Reported resources will be reviewed by our team. Report this resource to let us know if this resource violates TPT’s content guidelines.
Standards
to see state-specific standards (only available in the US).
CCSSHSA-CED.A.2
Create equations in two or more variables to represent relationships between quantities; graph equations on coordinate axes with labels and scales.
CCSSHSA-REI.A.1
Explain each step in solving a simple equation as following from the equality of numbers asserted at the previous step, starting from the assumption that the original equation has a solution. Construct a viable argument to justify a solution method.
CCSSHSF-IF.B.4
For a function that models a relationship between two quantities, interpret key features of graphs and tables in terms of the quantities, and sketch graphs showing key features given a verbal description of the relationship.
CCSSHSF-BF.A.1
Write a function that describes a relationship between two quantities.
CCSSHSF-LE.A.1
Distinguish between situations that can be modeled with linear functions and with exponential functions.
Reviews
Questions & Answers
0 Followers
