Unit Plan 32 (Grade 8 Math): Linear Modeling Project—From Data to Decision

8th graders design and carry out a complete data investigation—posing a question, collecting or curating data, building a scatter plot, fitting a line of best fit, and interpreting slope and intercept. They make predictions, evaluate model limits, and present clear, evidence-based findings.

Unit Plan 32 (Grade 8 Math): Linear Modeling Project—From Data to Decision

Focus: Plan and carry out a small data investigation: collect or curate data, create a scatter plot, fit and interpret a line, and present findings.

Grade Level: 8

Subject Area: Mathematics (Statistics & Probability • Modeling • Functions/Algebra connections)

Total Unit Duration: 5 sessions (one week), 45–60 minutes per session


I. Introduction

This culminating project turns students into data modelers. In pairs or trios, they’ll choose a question, collect or curate a small bivariate data set, construct a scatter plot, draw an informal line of best fit, write its equation, and use it to interpret and predict—ending with a concise presentation. Emphasis: ethical and sensible data choices, clear visuals, units, responsible claims, and limits of the model.

Essential Questions

  • What decision or claim can a small, well-designed linear model support?
  • How do design choices (variables, units, sampling) influence the story our data tells?
  • What do slope and intercept mean in context, and when are predictions trustworthy?

II. Objectives and Standards

Learning Objectives — Students will be able to…

  1. Plan an investigation: pose a testable question, define two numerical variables with units, and outline a sampling/curation plan (size, source, fairness).
  2. Construct a scatter plot with sensible scales, labels, and units; describe direction, form, strength, clusters, outliers.
  3. Draw an informal line of best fit, write an equation y = mx + b from two points on the line, and interpret slope and intercept in context.
  4. Use the line to interpolate and cautiously extrapolate; compare predicted vs actual values with qualitative error comments.
  5. Communicate results in a brief report or poster and a 2–3 minute presentation, including limitations and next steps.

Standards Alignment — CCSS Grade 8

  • 8.SP.1: Construct and interpret scatter plots for bivariate measurement data; describe patterns of association.
  • 8.SP.2: Informally fit a line and judge the fit by visual closeness; use the line to solve problems.
  • 8.SP.3: Use the fitted line to solve problems; interpret slope and intercept in context.
  • MP.3: Construct viable arguments and critique the reasoning of others.
  • MP.4: Model with mathematics.

Success Criteria (student-friendly)

  • I can make a clear, labeled scatter plot and draw a reasonable line that balances points.
  • I can explain, with units, what the slope and intercept say about my situation.
  • I can make and label interpolated and extrapolated predictions and say how confident I am.
  • I can present a concise claim supported by the graph, numbers, and limitations.