Description
Equip your Algebra II students to investigate correlation, scatterplots, and the meaning of the linear correlation coefficient r with this clear, student-friendly lesson and homework assignment. Perfect for introducing bivariate data, linear regression, and real-world data modeling, this editable resource walks students through every step—ideal for busy teachers who need a complete, ready-to-teach lesson.
What’s Included
✔ Editable Guided Notes (Blank Student Version)
✔ Editable Guided Notes (Keyed Teacher/504-Friendly Version)
✔ Homework Assignment
✔ Homework Answer Key
✔ Technology Instructions Pack:
• TI-84 Step-by-Step Regression Instructions
• Microsoft Excel Regression Instructions
• Google Sheets Regression Instructions
✔ All file assets available in editable Word documents and print-ready PDFs
Topics Covered
Your students will:
- Interpret positive, negative, strong, weak, and no correlation
- Create and analyze scatterplots using technology
- Calculate and interpret the correlation coefficient (r)
- Write a line of best fit using technology
- Make predictions using the regression equation
Aligned to Algebra II standards (TEKS A2.8A–C; CCSS HSS-ID.B.6, 6a, 6c).
Technology-Friendly (TI-84, Excel, and Sheets Included!)
No matter what your district uses, you’re covered. Step-by-step instructions guide students through:
- Entering data
- Creating scatterplots
- Running linear regressions
- Accessing r values
- Writing equations
- Making predictions
This eliminates tech confusion and allows you to teach immediately—even if your students are using mixed devices.
Why Teachers Love This Resource
This lesson is built for real teachers who want:
- A complete lesson that’s ready to teach today
- Fully editable notes + homework
- Clear examples to support absent students and 504 accommodations
- Seamless compatibility with the technology already available
- Clean visuals and organized content
- A homework assignment that mirrors the in-class lesson
Spend less time prepping—and more time teaching.
Perfect For
- Algebra II units on data modeling and regression
- Bivariate data + statistics introductions
- Reteaching and intervention
- Blended learning or flipped classrooms
- Sub plans (easily paired with keyed notes)
Looking to go deeper?
This resource is Part 1 of the full 3-Part Algebra 2 Regression Unit, which includes:
- Editable lesson notes (blank + keyed/504 versions)
- Technology instruction sheets (Excel, Sheets, TI-84)
- Practice assignments with full solutions
- Unit assessment in six versions
Ready to save hours of prep time?
Add this resource to your cart and start teaching correlation and linear regression with confidence today!
Correlation & Scatterplots | Editable Linear Regression Full Lesson + Homework
Highlights
Save even more with bundles
Description
Equip your Algebra II students to investigate correlation, scatterplots, and the meaning of the linear correlation coefficient r with this clear, student-friendly lesson and homework assignment. Perfect for introducing bivariate data, linear regression, and real-world data modeling, this editable resource walks students through every step—ideal for busy teachers who need a complete, ready-to-teach lesson.
What’s Included
✔ Editable Guided Notes (Blank Student Version)
✔ Editable Guided Notes (Keyed Teacher/504-Friendly Version)
✔ Homework Assignment
✔ Homework Answer Key
✔ Technology Instructions Pack:
• TI-84 Step-by-Step Regression Instructions
• Microsoft Excel Regression Instructions
• Google Sheets Regression Instructions
✔ All file assets available in editable Word documents and print-ready PDFs
Topics Covered
Your students will:
- Interpret positive, negative, strong, weak, and no correlation
- Create and analyze scatterplots using technology
- Calculate and interpret the correlation coefficient (r)
- Write a line of best fit using technology
- Make predictions using the regression equation
Aligned to Algebra II standards (TEKS A2.8A–C; CCSS HSS-ID.B.6, 6a, 6c).
Technology-Friendly (TI-84, Excel, and Sheets Included!)
No matter what your district uses, you’re covered. Step-by-step instructions guide students through:
- Entering data
- Creating scatterplots
- Running linear regressions
- Accessing r values
- Writing equations
- Making predictions
This eliminates tech confusion and allows you to teach immediately—even if your students are using mixed devices.
Why Teachers Love This Resource
This lesson is built for real teachers who want:
- A complete lesson that’s ready to teach today
- Fully editable notes + homework
- Clear examples to support absent students and 504 accommodations
- Seamless compatibility with the technology already available
- Clean visuals and organized content
- A homework assignment that mirrors the in-class lesson
Spend less time prepping—and more time teaching.
Perfect For
- Algebra II units on data modeling and regression
- Bivariate data + statistics introductions
- Reteaching and intervention
- Blended learning or flipped classrooms
- Sub plans (easily paired with keyed notes)
Looking to go deeper?
This resource is Part 1 of the full 3-Part Algebra 2 Regression Unit, which includes:
- Editable lesson notes (blank + keyed/504 versions)
- Technology instruction sheets (Excel, Sheets, TI-84)
- Practice assignments with full solutions
- Unit assessment in six versions
Ready to save hours of prep time?
Add this resource to your cart and start teaching correlation and linear regression with confidence today!





