Ready Prediction & Units Worksheet | Grade 12 Statistics

This worksheet helps Grade 12 Statistics students describe a linear association, make predictions from a least-squares line, and keep units straight. Across 16 problems, students interpret slope, compute residuals, convert units, and decide when extrapolation is unsafe, all in real-world contexts.

At a Glance

• Grade: 12 · Subject: Statistics
• Standard: HSS-ID.B.6 — Graph bivariate data, fit a line, and use it to solve problems
• Skill Focus: Association, prediction, and units in linear regression models
• Format: 5 pages · 16 problems · Answer key included · PDF
• Best For: Mixed review after regression instruction
• Time: 40–50 minutes

What's Inside

Three parts and 16 problems cover multiple-choice items, short interpretations, calculations from summary statistics, a technology-based regression, and a scatterplot with a printed line. A reminders box lists the facts about r, r², slope, and rounding conventions. The 5-page PDF includes a 3-page answer key.

Skill Progression

• Guided practice: Items 1–4 use a printed scatterplot and the given line ŷ = 49 + 4.67x. Students interpret slope, predict, and find a residual.
• Supported practice: Items 5–12 mix methods, including correlation versus causation, unit changes, r², extrapolation, and technology, with the reminders box as support.
• Independent practice: Items 13–16 combine residuals, unit conversion, building a line from summary statistics, and comparing two models with little scaffolding.

The sequence follows gradual release: I Do, We Do, You Do.

Standards Alignment

HSS-ID.B.6 — Represent data on two quantitative variables on a scatter plot and describe how the variables are related; fit a function to the data and use it to solve problems. Supporting standard: HSS-ID.C.7 asks students to interpret the slope and intercept of a linear model in context. Both standard codes can be copied directly into lesson plans, IEP goals, or district curriculum mapping tools.

How to Use It

• During instruction: After teaching least-squares lines, assign Parts A and B as guided classwork, then discuss the answers together.
• After instruction: Use Part C as homework or an end-of-unit review.

Formative tip: watch for students who state a slope without units or who call a negative r weak. Expect 40–50 minutes in total.

Who It's For

Grade 12 Statistics students working with scatterplots, correlation, and regression. Students who need support can start with Part A and lean on the reminders box. Students who are ready for more can concentrate on Part C. Pair it with an anchor chart on interpreting slope and intercept in context.

HSS-ID.B.6 asks students to represent bivariate data on a scatter plot, fit a function, and use it to solve problems. This Grade 12 Statistics worksheet turns that skill into 16 problems on describing association, interpreting slope and residuals, predicting within a data range, and tracking units through conversions. Students also separate correlation from causation, use r² to compare predictors, and decide when extrapolation is unreasonable. Fisher & Frey (2014) describe gradual release of responsibility, in which learners move from modeled work to collaborative tasks to independent application, as a reliable structure for building transfer. This worksheet follows that arc across three parts, from a printed scatterplot with a given line to integrated real-world contexts. A 5-page PDF with a 3-page answer key makes it practical for review, homework, or formative checks of linear regression understanding in high school statistics.