Te reo Māori terms
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Master Teaching Guide coverage for this objective.
S5-1
NZC26-P4-STA-VIS-P-Y10-01NZC26-P4-STA-INT-P-Y10-03
Resources
- CorbettMaths on the equation of a line (forming the linear model)Questions PDF · Answers
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.
Before

Comparing box-and-whisker graphs - CSSI

Comparing Data Sets with Box Plots and Measures of Spread

Making an Inference from Sample Data
You are here

Linear model for scatter plots
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▸
Making informal predictions from scatter plots in relationship situations
Statement▸
Next
Year 10 is the last year of this phase — the curriculum lists nothing after this. No extension resources on the site yet.
Also under S5-1:
For teachers
Need the fuller teaching notes for this objective? Open the Teacher guidance PDF.




