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Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework
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Description

Teach your Algebra 2 students how to analyze R² values, compare regression models, and make predictions with this fully editable lesson and homework set. This is Part 2 of a 3-part Regression Unit, and includes editable notes, TI-84/Excel/Google Sheets instructions, and an assignment with keys for all three platforms so you can teach regression with any classroom technology.

What’s Included

  • Editable Guided Notes (Blank Student Version)
  • Keyed Guided Notes / 504-Friendly Version
  • Homework Assignment (Editable)
  • Homework Answer Keys (TI-84, Excel, and Sheets compatible)
  • TI-84, Excel, and Google Sheets Instruction Sheets
  • Worked Examples with Clear, Organized Layouts

Everything is ready to teach—no extra prep required.

Topics Covered

Students learn how to:

  • Generate various regression models (linear, quadratic, cubic, exponential, power, logarithmic)
  • Interpret and compare coefficients of determination (R²)
  • Choose the best model for a data set
  • Make predictions using the chosen model
  • Apply modeling skills to real data sets (projectile motion, population growth, etc.)

Aligned to TEKS A2.8A–C and CCSS HSS-ID standards.

Technology-Friendly

Includes fully detailed instructions for:

  • TI-84+ graphing calculators
  • Microsoft Excel
  • Google Sheets

Students can create scatterplots, run regressions, and view equations and R² values using whatever technology your school supports.

Why Teachers Love It

This resource is designed for teachers who want high-quality lessons without the stress of extensive and time-consuming planning. Teachers appreciate:

  • Clean, organized layouts
  • Fully editable files
  • Strong alignment to standards
  • Built-in differentiation with the keyed/504 notes
  • Realistic, high-interest data sets
  • Homework that mirrors examples for easy practice

Spend less time prepping—and more time teaching regression confidently.

Perfect For…

  • Algebra II regression units
  • Data analysis and modeling practice
  • Pre-AP/regular instruction
  • Reteach days
  • Sub plans (pair with the 504 version)
  • Technology-based math instruction

Looking to go deeper?

This resource is Part 2 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 teach regression models with clarity and confidence?

Add this resource to your cart and help your students master real-world modeling with regression equations and R²!

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.

Comparing Regression Models and R² | Editable Algebra 2 Full Lesson + Homework

Practical Math Lab
24 Followers
$4.99

Highlights

Digital downloads
Grades icon
Grades
9th - 12th
Standards icon
Standards
Pages
11
Answer Key
Included
Teaching Duration
45 minutes

Save even more with bundles

Teach regression with confidence using this complete Algebra 2 regression unit bundle designed for Excel, Google Sheets, and TI-84 classrooms. This editable unit includes three full lessons, practice assignments, technology instruction sheets, and a flexible unit test, giving you everything you need
Price $14.99Original Price $22.96Save $7.97
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Description

Teach your Algebra 2 students how to analyze R² values, compare regression models, and make predictions with this fully editable lesson and homework set. This is Part 2 of a 3-part Regression Unit, and includes editable notes, TI-84/Excel/Google Sheets instructions, and an assignment with keys for all three platforms so you can teach regression with any classroom technology.

What’s Included

  • Editable Guided Notes (Blank Student Version)
  • Keyed Guided Notes / 504-Friendly Version
  • Homework Assignment (Editable)
  • Homework Answer Keys (TI-84, Excel, and Sheets compatible)
  • TI-84, Excel, and Google Sheets Instruction Sheets
  • Worked Examples with Clear, Organized Layouts

Everything is ready to teach—no extra prep required.

Topics Covered

Students learn how to:

  • Generate various regression models (linear, quadratic, cubic, exponential, power, logarithmic)
  • Interpret and compare coefficients of determination (R²)
  • Choose the best model for a data set
  • Make predictions using the chosen model
  • Apply modeling skills to real data sets (projectile motion, population growth, etc.)

Aligned to TEKS A2.8A–C and CCSS HSS-ID standards.

Technology-Friendly

Includes fully detailed instructions for:

  • TI-84+ graphing calculators
  • Microsoft Excel
  • Google Sheets

Students can create scatterplots, run regressions, and view equations and R² values using whatever technology your school supports.

Why Teachers Love It

This resource is designed for teachers who want high-quality lessons without the stress of extensive and time-consuming planning. Teachers appreciate:

  • Clean, organized layouts
  • Fully editable files
  • Strong alignment to standards
  • Built-in differentiation with the keyed/504 notes
  • Realistic, high-interest data sets
  • Homework that mirrors examples for easy practice

Spend less time prepping—and more time teaching regression confidently.

Perfect For…

  • Algebra II regression units
  • Data analysis and modeling practice
  • Pre-AP/regular instruction
  • Reteach days
  • Sub plans (pair with the 504 version)
  • Technology-based math instruction

Looking to go deeper?

This resource is Part 2 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 teach regression models with clarity and confidence?

Add this resource to your cart and help your students master real-world modeling with regression equations and R²!

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.

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Questions & Answers

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Standards

to see state-specific standards (only available in the US).
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
Fit a function to the data; use functions fitted to data to solve problems in the context of the data.
Fit a linear function for a scatter plot that suggests a linear association.
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