Free Printable WorksheetMathAlgebra IMath CurriculumS-ID.5–9

ALG1.127 Correlation and Causation Worksheet

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Worksheet Overview & Skills Covered

Core academic competencies and curriculum alignment

This Algebra I Math worksheet provides structured practice on ALG1.127 Correlation and Causation. Students are guided through targeted exercises that build foundational understanding, computational accuracy, and critical thinking skills.

ALG1.127 Correlation and Causation - Select the statement that correctly interprets correlation as strength and direction of linear association; Identify the option that distinguishes correlation from causation using context and study design ideas. (CCSS: S-ID.5–9; TEKS: §111.39(b)(3) and technology use; VA SOL: A.ST.1 d–i; FL B.E.S.T.: MA.912.DP.1.1 (displays) with Algebra 1 modeling links (AR.2.5); NY-NGLS: AI-S.ID.5–9; CA CCSSM: S-ID.5–9; MA 2017: HS.S-ID.5–9; DoDEA CCRSM; NAEP: Algebra—modeling with data; NCTM P2A: Practices 4, 5.)

Whether you are an educator preparing classroom handouts, a tutor reinforcing weekly topics, or a parent supporting homeschool learning, this printable resource gives students the deliberate practice required to achieve subject fluency and master state standards.

Grade

Algebra I

Subject

Math

Domain

Math Curriculum

Formats

PDF & DOCX

Sample Practice Problems

Preview the types of problems and questions covered in this worksheet

Below are sample questions representative of the exercises included on this worksheet and related ALG1.127 Correlation and Causation skill assessments:

Problem 1Difficulty: Mastery
A school survey finds r = 0.68 between number of online practice quiz attempts and unit test score. An administrator says, "More attempts cause higher scores." Which response is best?
AThe coefficient means every additional attempt adds exactly 0.68 point.
BThe administrator is correct because any r greater than 0.50 proves causation.
CThe association is negative because some students may take many attempts.
DThe data show a positive association, but a randomized encouragement study or controls for prior achievement would be needed for a stronger causal claim.
Solution & Explanation:The survey correlation shows that more attempts tend to go with higher scores. To support causation, the school would need a stronger design, such as random assignment or controls for prior achievement.
Problem 2Difficulty: Mastery
A county finds that the number of snowplows on the road and snow depth are positively correlated during winter storms. Which interpretation is most reasonable?
ASnow depth is impossible to associate with snowplows because one is a count.
BSnowplows cause snow depth to increase.
CHeavier snow likely leads to both greater snow depth and more snowplows being sent out.
DA positive correlation proves the variables are unrelated.
Solution & Explanation:Storm severity is a likely common cause. It can increase snow depth and cause the county to send out more snowplows.
Problem 3Difficulty: Mastery
A strong correlation between two variables is useful for prediction in a similar setting. What important limit should still be remembered?
AStrong correlation means prediction is impossible.
BStrong correlation can support prediction but does not automatically prove cause and effect.
CStrong correlation means the variables have different units.
DStrong correlation means the data must come from a randomized experiment.
Solution & Explanation:A strong linear association can be useful for making predictions within the data context. Causation requires additional evidence about study design or mechanism.

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Frequently Asked Questions

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QIs this ALG1.127 Correlation and Causation worksheet free for teachers and homeschoolers?

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QWhat grade level and standards does this worksheet align with?

This worksheet is designed specifically for Algebra I Math students. It aligns with educational standard S-ID.5–9 (Primary standard selected for prompt fields in this prompt cell: CCSS S-ID.5–9. Skill statement in this prompt cell: Select the statement that correctly interprets correlation as strength and direction of linear association; Identify the option that distinguishes correlation from causation using context and study design ideas. Associated standards listed with this skill in the curriculum source: CCSS: S-ID.5–9; TEKS: §111.39(b)(3) and technology use; VA SOL: A.ST.1 d–i; FL B.E.S.T.: MA.912.DP.1.1 (displays) with Algebra 1 modeling links (AR.2.5); NY-NGLS: AI-S.ID.5–9; CA CCSSM: S-ID.5–9; MA 2017: HS.S-ID.5–9; DoDEA CCRSM; NAEP: Algebra—modeling with data; NCTM P2A: Practices 4, 5. Use this prompt-provided wording as the supporting standard description for this workflow.).

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