How do we use a straight-line equation to model and predict from a real situation?
Construct and interpret linear functions of the form y = mx + c to model practical situations, identifying the meaning of the gradient and intercept.
How to build a linear model y = mx + c from a worded situation, interpret the gradient as a rate and the intercept as a starting value, and use the model to predict.
Reviewed by: AI editorial process; not yet individually human-reviewed
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What this dot point is asking
You must be able to read a practical situation, set up a linear equation that fits it, explain what the gradient and intercept mean in context, and use the model to make predictions.
The linear model
A relationship is linear when changes by the same amount for each unit increase in . The model is:
Building a model from words
The key is to identify the two parameters from the wording:
- A fixed starting amount, base fee, or initial value gives the intercept .
- A "per unit" amount (per hour, per kilometre, per item) gives the gradient .
Interpreting the model in context
Examiners reward interpretation, not just numbers. For the taxi model:
- The gradient means the fare increases by $2.20 for each extra kilometre.
- The intercept means the fare is $4.50 before any distance is travelled.
Predicting and the limits of a model
Substitute a value to predict. Predicting inside the range of your data is interpolation (usually reliable); predicting outside it is extrapolation (less reliable, because the linear pattern may not continue).