Constructing and comparing linear and exponential models: tables of values, graphs, predictions and the limits of each model (Year 12 Algebraic relationships, 2024 Mathematics Standard 1 syllabus)
“Construct a linear or exponential graph from a table of values or a graphing application to make predictions in practical contexts, and identify the strengths and limitations of linear and exponential models”
A linear relationship has a constant difference and a straight-line graph; an exponential relationship has a constant ratio (growth factor above 1 for growth, between 0 and 1 for decay) and a curved graph. Build a table of values, graph it, and predict by substitution or reading the graph. Compare models at the same input, and always state the limits: linear models can give impossible values, exponential growth cannot continue forever. Part of Year 12 Algebraic relationships in the 2024 Mathematics Standard 1 syllabus.
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What this dot point is asking
The Mathematics Standard 11-12 Syllabus (2024), first examined in the 2027 HSC, groups Year 12 Standard 1 algebra into Algebraic relationships. For graphs of practical situations, NESA's page asks you to construct a linear or exponential graph from a table of values or a graphing application to make predictions in practical contexts, to represent a real-world situation graphically, and to identify the strengths and limitations of linear and exponential models in given contexts.
Our page on graphs of practical situations covers recognising the shapes. This page covers the part that is more demanding in the new wording: building the table and the graph yourself, predicting, and judging the model.
The answer
A linear relationship has a constant difference: changes by the same amount for each step in , giving a straight line .
An exponential relationship has a constant ratio: is multiplied by the same factor for each step in , giving a curve , where is growth and is decay.
Every model has limits. State the range of values over which it is reasonable.
Building the table of values
Choose sensible values of (such as ), substitute into the rule, and record . Check each row on a calculator or spreadsheet. A spreadsheet is natural here: type the first value, then make each next cell "previous cell times the growth factor" for exponential change, or "previous cell plus the step" for linear change.
Graphing and predicting
Plot the points, join them with a straight line (linear) or a smooth curve (exponential), and read values off the graph, or substitute into the rule for precision. Reading between known points (interpolation) is generally safer than predicting beyond them (extrapolation).
Linear against exponential
Take a starting value of $1000 growing at a year. A linear (simple interest) model adds $60 every year. An exponential (compound interest) model multiplies by every year. They agree after year ($1060); after years they are $1600.00 and $1790.85. This links directly to the investment page, and the decay version is declining balance depreciation, on the depreciation page.
Strengths and limitations
| Model | Strength | Limitation |
|---|---|---|
| Linear | Simple, easy to calculate and graph, good for steady change over a short period | Can give impossible values, such as a negative amount, when extended too far |
| Exponential growth | Matches change by a fixed percentage, such as compound interest | Cannot continue forever, because resources and space are finite |
| Exponential decay | Never gives a negative value, and falls by smaller amounts as the value drops | Never reaches zero, so it is only an approximation of real depreciation |
Decide the model from a table
A table shows and . Each value is the previous one times , so the relationship is exponential decay, .
Marker's note: name the constant ratio, not just "it goes down".
Predict with an exponential model
A phone's resale value is dollars after years. After years, .
Marker's note: evaluate the power first, then multiply.
Interpolate or extrapolate
A linear model for a plant's height, centimetres after weeks, fits measurements taken in weeks to . Predicting week is interpolation and is reasonable. Predicting week gives cm, which is extrapolation far beyond the data, and the plant will not keep growing at a constant rate.
Marker's note: say why the extrapolation is doubtful.
- Calling a curve linear because it goes up
- Check the differences: if they are not constant, it is not a straight line.
- Multiplying the wrong way for decay
- A fall each year multiplies by , not .
- Using the growth factor as the percentage
- means growth, and means decay.
- Extrapolating without comment
- If asked about a prediction far from the data, say that the model may no longer apply.
- Assuming exponential growth is always faster
- It can be slower than a straight line early on and only overtakes later.
When asked to "compare" two models, calculate both at the same value and also describe the shape of each graph. When asked for a limitation, tie it to the context (a population is limited by space, a car value cannot be negative). If a graphing application or spreadsheet is mentioned, show the rule or the first two rows of the table you used.
Practice questions
Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.
foundation2 marksComplete a table of values for for and describe the shape of its graph.Show worked solution →
Substitute each value of .
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 1 | 2 | 4 | 8 | 16 | 32 |
Shape. The graph rises slowly at first and then more and more steeply. It crosses the -axis at . This is exponential growth, a curve rather than a straight line.
Marker's note: one mark for the correct table, one for describing the curve as increasingly steep.
foundation3 marksState whether each relationship is linear or exponential, and give the rule it follows. (a) and . (b) and .Show worked solution →
(a) Look at the differences. , , , . The difference is constant, so the relationship is linear, with .
(b) Look at the ratios. , , , . The ratio is constant, so the relationship is exponential, with .
Marker's note: one mark for each classification with the reason (constant difference, constant ratio), one for a correct rule.
core4 marksA town has a population of and grows by each year, so the population after years is . (a) Find the population after and years to the nearest whole person. (b) A councillor suggests the population will grow by people each year, so . Compare the two models after years.Show worked solution →
(a) Substitute.
| Years | 0 | 1 | 2 | 3 | 4 |
|---|---|---|---|---|---|
| 2000 | 2100 | 2205 | 2315 | 2431 |
(Exact values are and .)
(b) Compare after years. Exponential: . Linear: .
The exponential model gives about more people. The linear model adds the same amount each year, whereas the exponential model adds of an ever larger population, so the gap widens with time.
Marker's note: one mark for the table, one for each value after years, one for the comparison.
core3 marksA culture of bacteria starts with cells and the number doubles every hour, so where is the time in hours. (a) How many cells are there after hours? (b) After how many whole hours does the culture first exceed cells? (c) State one limitation of this model.Show worked solution →
- (a) After 7 hours
- cells.
- (b) First above
- Test whole hours: gives , and gives . So the culture first exceeds after hours.
- (c) Limitation
- The culture cannot keep doubling forever, because food and space run out, so the model is only reliable for a limited time.
Marker's note: one mark for , one for checking and , one for a valid limitation.
core4 marksAva invests $1000. Plan A pays simple interest of per year, so the value is . Plan B pays compound interest of per year, so the value is . (a) Find the value of each plan after years and after years, correct to the nearest cent. (b) Describe how the two graphs compare.Show worked solution →
(a) Values.
| Years | Plan A (simple) | Plan B (compound) |
|---|---|---|
| 2 | $1120.00 | $1123.60 |
| 10 | $1600.00 | $1790.85 |
(b) Comparison. Both graphs start at $1000 and are equal after year ($1060). Plan A is a straight line, growing by $60 each year. Plan B is a curve that gets steeper because interest is earned on the interest as well. From year onwards Plan B is higher, and the difference grows.
Marker's note: one mark for the two correct Plan A values, one for the two correct Plan B values, one for describing the line against the curve, and one for the reason.
exam5 marksA new car costs $30\,000 and its value falls by of its value each year, so after years its value is . (a) Find the value after , and years, to the nearest cent. (b) A friend uses a straight-line model that takes $4500 off the value each year, . Find the value after years under each model. (c) Explain which model is more sensible for a long period.Show worked solution →
- (a) Declining balance
- . . .
- (b) After years
- Exponential: . Straight line: .
- (c) Which is sensible
- The straight-line model gives a negative value, which is impossible, because it removes the same amount every year regardless of how little the car is worth. The exponential model keeps the value positive and falls by a smaller dollar amount each year, which matches how cars lose value. The exponential model is more sensible over a long period, although it never reaches $0, so it is also only an approximation.
Marker's note: one mark each for the three values in (a), one for both values in (b), and one for a reasoned conclusion in (c).
exam3 marksA population grows by each year. Using , find the first whole number of years after which the population is at least double its starting value, and explain why a straight-line model would not show this.Show worked solution →
Test values of . The population has doubled when . Trying values: , which is less than , and , which is at least . So it takes years.
Straight line comparison. A straight-line model adds a fixed amount ( of the starting value) every year. It would reach double the starting value after exactly years, since . The exponential model doubles sooner because each year's is taken from a larger and larger total.
Marker's note: one mark for testing values around the answer, one for , one for the explanation.