Understand the idea.
Translate the slope into a rate
In , the slope is the predicted response change for one additional unit of . Its units are response units per predictor unit. A negative slope predicts a decrease; it does not say every individual observation changes by that exact amount.
Always attach units and the phrase “the model predicts” when interpreting a fitted rate. Changing the predictor from hours to minutes changes the numerical coefficient, because one minute is a smaller increment; it must still represent the same physical rate.
Check whether the intercept has practical meaning
The intercept is the predicted response at . Check whether zero belongs to the situation and lies within a useful observed range. An intercept can position the fitted line correctly without representing an actual observed starting measurement.
Interpret a base charge or initial amount only when the context supports that interpretation. If zero is outside the applicable range, state this limitation instead of treating the model as evidence of what would really happen there.
See the method in action.
A delivery model
Delivery cost C dollars is modelled by C=6.5+1.8m, where m is parcel mass in kg. Interpret both coefficients.
Worked solution
- 1
Evaluate the model at zero mass.
The intercept is the modelled base cost of 6.50 dollars, subject to whether zero mass is a meaningful service case.
- 2
Compare predictions one kilogram apart.
The predicted cost increases by 1.80 dollars for each extra kilogram.
- 3
State both coefficient meanings with units.
The base amount and rate have different units. Confirm the applicable mass range before treating the intercept as an actual charge.
Intercept: modelled base cost 6.50 dollars; slope: 1.80 dollars per kg.
A different time unit
A model is d=12+30t, with d in km and t in hours. Rewrite it using u minutes.
Worked solution
- 1
Express the same time in hours.
Sixty minutes make one hour, so a time of u minutes is u divided by 60 hours.
- 2
Substitute into the original model.
Substitution changes the input unit while preserving the distance predicted at the same physical time.
- 3
Interpret the new coefficient.
The intercept remains 12 km; the rate is now written per minute rather than per hour.
d=12+0.5u.
Try it yourself.
Check your understanding
A fitted line predicts fuel remaining F=50-0.08d, with d in km. Interpret the slope.
Show answer & reasoning
Predicted fuel falls by 0.08 L for each additional km.
The slope is . The model predicts that fuel remaining falls by for each additional kilometre; the negative sign indicates a decrease.
Keep practising
6 worksheet questions · 18 marks
Read the questions online
- A fitted crop yield is , with in tonnes and in mm rainfall. Interpret 0.4.3 marks
- A model predicts test time in minutes from weeks of training. Interpret .3 marks
- A tree model was fitted only for ages 5–12 years. Is 1.2 m a reliable measured height at birth?3 marks
- Change from hours to minutes.3 marks
- The model uses in dollars. Express it with in hundreds of dollars.3 marks
- A regression gives an intercept of for mass predicted from length. Must the entire model be useless?3 marks
Read the worked solutions
Equivalent correct methods earn the corresponding marks. Include units where asked.
- A fitted crop yield is , with in tonnes and in mm rainfall. Interpret 0.4.3 marks
State response units per explanatory unit.
Qualify the statement as a model prediction.
The model predicts 0.4 more tonnes for each additional mm of rainfall. - A model predicts test time in minutes from weeks of training. Interpret .3 marks
The negative sign indicates a decrease.
Each extra training week predicts a 2.5-minute decrease in test time. - A tree model was fitted only for ages 5–12 years. Is 1.2 m a reliable measured height at birth?3 marks
Zero is outside the observed age range.
No. It is the extrapolated prediction at age zero, not a measured birth height. - Change from hours to minutes.3 marks
Substitute .
.
. - The model uses in dollars. Express it with in hundreds of dollars.3 marks
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. - A regression gives an intercept of for mass predicted from length. Must the entire model be useless?3 marks
A negative extrapolated zero-length prediction does not alone invalidate a local fitted relationship.
No. The intercept may be outside the relevant length range; inspect fit and predictions within that range.
Curriculum reference & lesson scope
SACE Board of South Australia
Stage 2 General Mathematics: statistical models. Original lessons and assessment practice; not an official SACE assessment.
Official curriculum source ↗