Linear model for scatter plots

Form the equation of a line of best fit (y = mx + c) from its gradient and y-intercept, or from two points on it, and use the equation to predict values, distinguishing interpolation from extrapolation and discussing confidence in the prediction.

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Learning objective overview

Master Teaching Guide coverage for this objective.

Current NZC (2007)
  • S5-1
New NZC (2026)
  • NZC26-P4-STA-VIS-P-Y10-01
  • NZC26-P4-STA-INT-P-Y10-03

Resources

Terminology

  • Linear model
  • Equation of the line of best fit
  • Gradient
  • y-intercept
  • Interpolation
  • Extrapolation
  • Confidence (in a prediction)

Task goals

  • Substitute a given x-value into the equation of a line of best fit (y = mx + c) to predict the corresponding y-value.
  • State the gradient and y-intercept of a line of best fit from its equation, or write the equation given the gradient and y-intercept.
  • Find the gradient of a line of best fit from two points on it, and use a known y-intercept (or one of the points) to write its equation.
  • Distinguish interpolation (predicting within the range of the original data) from extrapolation (predicting beyond it).
  • Explain why an extrapolated prediction is generally less reliable than an interpolated one.
  • Explain how the strength of a correlation (how closely points cluster around the line) and the sample size affect confidence in a prediction.
  • Work backwards from a known y-value to find the corresponding x-value using the equation of the line of best fit.

Where this fits

What leads into this objective, and where it goes next.

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Linear model for scatter plots

Linear model for scatter plots

Do

For relationship investigations, drawing an eyeballed line or curve of best fit to predict possible y-values (the response variable) for given x-values (the explanatory variable)

Statement▸
Year 10 · Statistics · Visualisation of data
NZC26-P4-STA-VIS-P-Y10-01
Do

Making informal predictions from scatter plots in relationship situations

Statement▸
Year 10 · Statistics · Interpretation of data
NZC26-P4-STA-INT-P-Y10-03

Next

Year 10 is the last year of this phase — the curriculum lists nothing after this. No extension resources on the site yet.

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