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Grade 8 · Grade 8 / Algebra readiness · 8 minute lesson

Read a scatter plot without claiming causation

A scatter plot can show direction, form, and unusual points, but an association alone does not identify a cause.

Lesson 26 of 30 in Grade 8. Take the time you need; the lesson estimate is a guide.

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01 · Read and understand

What you will learn

  • Explain how to read a scatter plot without claiming causation.
  • Solve the two practice problems and explain how the assumptions affect the answers.

Before you start

Coordinate plotting and positive slope.

Keep paper nearby. Read the question once for the context, then again to identify what is known and what you need to find.

Start with a question

A made-up data set pairs outdoor temperature with ice-cream sales: (15,20), (20,35), (25,50), (30,65). Describe the association and explain why it does not by itself prove a causal rule.

Why this math matters

A scatter plot can show direction, form, and unusual points, but an association alone does not identify a cause. Describe direction and shape before proposing an explanation, and distinguish observations from experimental evidence.

A collection of concrete mathematics tools for building mathematical understanding
Make a representation of your own.Sketch the quantities or relationships in this question before working through the solution. The cover image sets the learning scene; it does not show this problem’s exact values.

Set up the model

A useful answer starts with clear assumptions:

  • Temperature and sales are paired for the same observation periods.
  • These four fictional observations are observational, not a randomized experiment.

02 · Work through the example

Follow the reasoning, one step at a time.

Try to predict the next step before reading it. After each calculation, explain why the operation makes sense and how it helps answer the original question.

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See this example unfold.

The complete worked example, one idea at a time.

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Read a scatter plot without claiming causation

Paused

Question: Start with the question. Paused.

Question

Start with the question

A made-up data set pairs outdoor temperature with ice-cream sales: (15,20), (20,35), (25,50), (30,65). Describe the association and explain why it does not by itself prove a causal rule.

Before you calculate

Read what is known and what you need to find. Make a prediction before moving to the first calculation.

Starts paused. Play advances through the full text at a reading pace; pause whenever you need more time. Previous, Next, and the phase buttons let you set your own pace. Playback pauses when this walkthrough leaves the screen or you switch tabs.

Your device’s reduced-motion setting keeps each phase still. Manual controls remain available. The full written solution stays below.

  1. Represent the quantities

    As temperature rises by 5, sales rise by 15

    The data show a positive linear pattern across the listed points.

  2. Apply the relationship

    observed rate = 15/5 = 3 sales per temperature unit

    This summarizes the pattern in the sample, not a universal physical law.

  3. Check and interpret

    Positive association is observed; causation is not established

    Season, foot traffic, promotions, or other factors could also vary with temperature.

The result

Positive association is observed; causation is not established

Season, foot traffic, promotions, or other factors could also vary with temperature.

Common mistakes to catch

  • Correlation or a visible trend alone does not establish cause and effect.
  • No linear pattern does not mean no possible relationship.

03 · Practice independently

Try it before revealing the answer.

Use paper or a calculator as needed. Write your units and reasoning, then open the hint or explanation to check your approach.

Practice 1

A scatter plot trends downward as x increases. What direction of association is shown?

Show a hint

Describe the typical movement in y.

Reveal answer and explanation

Negative association

Higher x values tend to occur with lower y values.

Practice 2

If a scatter plot has a curved U-shape, does a weak straight-line pattern imply no relationship?

Show a hint

Look for forms beyond a straight line.

Reveal answer and explanation

No

A strong nonlinear relationship can exist even when a straight-line summary is weak.

Take the idea with you

Describe direction and shape before proposing an explanation, and distinguish observations from experimental evidence.

04 · Reflect and continue

Can you explain it in your own words?

Before moving on, explain the main idea without looking at the worked example. Try both practice questions, check your reasoning, and name one mistake you now know how to avoid. Return to a step if you still need support.

Next lesson

Up next: Choose the denominator in a two-way table

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