Session Number
5
Location
A150
Grade Level
8th - 11th Grade Math and Technolog
Start Date
28-2-2025 1:40 PM
End Date
28-2-2025 2:40 PM
Description
Teachers will be guided through a student project using Google Sheets to create scatter plots, residual plots, and trendlines while calculating residuals. They will explore SSR, π-squared, and the coefficient of determination to interpret mode accuracy. Participants will leave with hands-on activity, datasets, and notes for classroom use, enabling students to analyze real-world data. This approach teaches linear regression, equipping students with analytical tools and introducing data science concepts while reinforcing algebra skills.
Copy of Other data to use.xlsx (47 kB)
Copy of Linear Regression Project.docx (187 kB)
Copy of Linear Regression Project Rubric .xlsx (11 kB)
Copy of Linear Regression in Google Sheets Directions.docx (22 kB)
Copy of Height vs Foot Data Sets Linear Regression.xlsx (7 kB)
Included in
Curriculum and Instruction Commons, Educational Methods Commons, Teacher Education and Professional Development Commons
Bringing Data Science to Algebra: Hands-On Linear Regression with Google Sheets
A150
Teachers will be guided through a student project using Google Sheets to create scatter plots, residual plots, and trendlines while calculating residuals. They will explore SSR, π-squared, and the coefficient of determination to interpret mode accuracy. Participants will leave with hands-on activity, datasets, and notes for classroom use, enabling students to analyze real-world data. This approach teaches linear regression, equipping students with analytical tools and introducing data science concepts while reinforcing algebra skills.
