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For x=−1,0,1 and y=t,0,t, find the fitted line and explain what it misses.

Read the idea, work independently, then explain what changed.

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高三選擇性必修 第三册(A版).pdf · 8.2 · PDF 110 / printed page 105

Revisit first: Correlation of paired data

TOPIC 01

Linear regression and applications

Fit a least-squares line and distinguish prediction, residual and extrapolation.

What you will be able to explain

  • Fit a least-squares line and distinguish prediction, residual and extrapolation.
  • Justify the method and check the conditions in a new situation.

Try it. Leave your reasoning visible.

Use one hint at a time. A correction explains what changed, not just the final answer.

01 / Standard#Your turn

For x=−1,0,1 and y=t,0,t, find the fitted line and explain what it misses.

t=12t=12
  • Sxx>0; extrapolation beyond observed x needs separate justification and predictions are not certain outcomes.
Skills and prerequisite lessons

Working and explanation

BUILD THE REASONING

Hint 1
Use the paired-data summaries, preserving which observations belong together.
Hint 2
Use this intermediate relation.
Sxy=0,yˉ=2t/3S_{xy}=0,\quad \bar y=2t/3
Worked solution
  1. Use the paired-data summaries, preserving which observations belong together.

  2. Apply the stated relation and retain its conditions.

    b=0,a=24/3b=0,\quad a=24/3
  3. The zero slope misses a U-shaped relation, so inspect the scatter as well as the line.

The requested relation or conclusion is shown below.

y^=24/3\hat y=24/3

Checks and common pitfalls: The zero slope misses a U-shaped relation, so inspect the scatter as well as the line.

Reasoning checklist · self / teacher assessment
  • State a valid definition or model and its assumptions.
  • Show the intermediate mathematical relations, not only the final claim.
  • Check exclusions, units or the interpretation of the result.

Think first. Reveal a hint when the class is ready.

Focus on one question

Teacher preparation and assessment

Question sequence

  • Fit a least-squares line and distinguish prediction, residual and extrapolation.
  • Which condition is essential in linear regression and applications?
  • Must the fitted line pass through every point?

Board plan

  • Defining relation: Fit a least-squares line and distinguish prediction, residual and extrapolation.
    y^=a+bx;b=Sxy/Sxx;a=yˉ−bxˉ\hat y=a+bx;\quad b=S_{xy}/S_{xx};\quad a=\bar y-b\bar x
  • Conditions: Sxx>0; extrapolation beyond observed x needs separate justification and predictions are not certain outcomes.

Anticipated thinking

  • Residual means observed minus predicted, not the reverse.

Assessment checklist

  • 1 mark: choose the correct representation and conditions.
  • 1 mark: establish the intermediate relation.
  • 1 mark: complete a connected calculation or proof.
  • 1 mark: interpret and check the conclusion.

No sign-in. Work stays in this browser. Export before clearing browser data. Written reasoning is assessed with a checklist.

Curriculum and source notes ↗