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Goldie’s Unit 5 Assessments for AP® Statistics | Regression Analysis
Goldie’s Unit 5 Assessments for AP® Statistics | Regression Analysis
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AP Statistics Unit 5 – Regression Analysis
Assessment Bundle
Looking for high-quality, classroom-ready AP® Statistics assessments for Unit 5? This bundle has everything you need to confidently assess your students on everything for regression analysis from scatterplots to least-squares regression lines.
This resource includes:
- 1 quiz (10 multiple choice + 1 free response each)
- 2 unit tests (15 multiple choice + 2 free response each)
- Grading rubric to support consistent scoring
All materials are 100% editable, so you can easily adjust questions, wording, or formatting to fit your students and teaching style.
You’ll receive:
- Editable Word documents (full editing access)
- Ready-to-use PDF versions
- Complete answer keys for every assessment
What’s Covered
These assessments are designed to evaluate student understanding of key Unit 5 topics, including:
- Scatterplots and describing associations between two quantitative variables
- Correlation and interpreting the correlation coefficient (r)
- Least-squares regression lines and making predictions
- Interpreting slope, y-intercept, and the coefficient of determination (r²)
- Residuals, residual plots, and assessing model fit
- Influential observations, outliers, and distinguishing association from causation
All content is carefully aligned to the 2026/27 AP® Statistics Course and Exam Description (CED), giving you confidence that your assessments match current expectations.
Key Features:
- 100 percent editable files to fit your teaching style
- PDF versions and answer keys included
- Strong alignment to the 2026–2027 AP® Statistics CED
- Designed for real classrooms with clear instructions and structure
These assessments are also included in:
- Goldie’s AP® Statistics Full Curriculum
- Unit 5 Curriculum Bundle
- Goldie’s AP® Statistics Assessment Bundle
…making it easy to stay consistent across your course.
Looking for more of Goldie's resources? Check out the products below, all freshly aligned to the new 2026 College Board CED:
***Full Curriculum for AP Statistics***
Unit 1 Curriculum – Exploring One-Variable Data & Collecting Data
Unit 2 Curriculum – Probability, Random Variables, & Probability Distributions
Unit 3 Curriculum – Inference for Categorical Data: Proportions
Unit 4 Curriculum – Inference for Quantitative Data: Means
Unit 5 Curriculum – Regression Analysis
If you're looking for specific resources, I have the following options:
Unit 1 Projects & Activities (Exploring One-Variable Data & Collecting Data)
Unit 2 Projects & Activities (Probability, Random Variables, & Probability Distributions)
Unit 3 Projects & Activities (Inference for Categorical Data: Proportions)
Unit 4 Projects & Activities (Inference for Quantitative Data: Means)
Unit 5 Projects & Activities (Regression Analysis)
***AP Statistics Projects & Activities Bundle***
Unit 1 Assessments (Exploring One-Variable Data & Collecting Data)
Unit 2 Assessments (Probability, Random Variables, & Probability Distributions)
Unit 3 Assessments (Inference for Categorical Data: Proportions)
Unit 4 Assessments (Inference for Quantitative Data: Means)
Unit 5 Assessments (Regression Analysis)
***AP Statistics Assessments Bundle***
If you need extra explanations or additional guidance, I would love to help!! Contact me at goldiesmathemporium[at]gmail.com for any questions or samples.
AP® is a registered trademark of the College Board® which does not endorse this product.
I want to provide the best possible resources to help other teachers out! You will be notified of any future updates and additions to this product and it will be free of charge. Your support is important and I thank you for allowing me to continue doing what I love to do.
© Goldie’s Math Emporium, LLC
This work is bound by copyright laws and editing (beyond your own classroom use), selling, redistributing, or posting all or part of these documents on the Internet is strictly prohibited. Violations are subject to the Digital Millennium Copyright Act.
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