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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)

Syllabus dot point

“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”

9 min read

Quick answer

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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  1. What this dot point is asking
  2. The answer
  3. Practice questions

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

Key fact

A linear relationship has a constant difference: yy changes by the same amount for each step in xx, giving a straight line y=mx+cy = mx + c.

An exponential relationship has a constant ratio: yy is multiplied by the same factor for each step in xx, giving a curve y=a×bxy = a \times b^x, where b>1b > 1 is growth and 0<b<10 < b < 1 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 xx (such as 0,1,2,3,…0, 1, 2, 3, \dots), substitute into the rule, and record yy. 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 6%6\% a year. A linear (simple interest) model adds $60 every year. An exponential (compound interest) model multiplies by 1.061.06 every year. They agree after 11 year ($1060); after 1010 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
Worked examples

Decide the model from a table

A table shows x=0,1,2,3x = 0, 1, 2, 3 and y=80,40,20,10y = 80, 40, 20, 10. Each value is the previous one times 0.50.5, so the relationship is exponential decay, y=80×0.5xy = 80 \times 0.5^x.

Marker's note: name the constant ratio, not just "it goes down".

Predict with an exponential model

A phone's resale value is V=900×0.8nV = 900 \times 0.8^n dollars after nn years. After 33 years, V=900×0.512=$460.80V = 900 \times 0.512 = \$460.80.

Marker's note: evaluate the power first, then multiply.

Interpolate or extrapolate

A linear model for a plant's height, h=5+2th = 5 + 2t centimetres after tt weeks, fits measurements taken in weeks 11 to 88. Predicting week 44 is interpolation and is reasonable. Predicting week 6060 gives 125125 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.

Common traps
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 15%15\% fall each year multiplies by 0.850.85, not 0.150.15.
Using the growth factor as the percentage
1.051.05 means 5%5\% growth, and 0.850.85 means 15%15\% 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.
Exam technique

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 marks
Complete a table of values for y=2xy = 2^x for x=0,1,2,3,4,5x = 0, 1, 2, 3, 4, 5 and describe the shape of its graph.
Show worked solution →

Substitute each value of xx.

xx 0 1 2 3 4 5
y=2xy = 2^x 1 2 4 8 16 32

Shape. The graph rises slowly at first and then more and more steeply. It crosses the yy-axis at 11. 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 marks
State whether each relationship is linear or exponential, and give the rule it follows. (a) x=0,1,2,3,4x = 0, 1, 2, 3, 4 and y=4,7,10,13,16y = 4, 7, 10, 13, 16. (b) x=0,1,2,3,4x = 0, 1, 2, 3, 4 and y=3,6,12,24,48y = 3, 6, 12, 24, 48.
Show worked solution →

(a) Look at the differences. 7−4=37 - 4 = 3, 10−7=310 - 7 = 3, 13−10=313 - 10 = 3, 16−13=316 - 13 = 3. The difference is constant, so the relationship is linear, with y=3x+4y = 3x + 4.

(b) Look at the ratios. 63=2\frac{6}{3} = 2, 126=2\frac{12}{6} = 2, 2412=2\frac{24}{12} = 2, 4824=2\frac{48}{24} = 2. The ratio is constant, so the relationship is exponential, with y=3×2xy = 3 \times 2^x.

Marker's note: one mark for each classification with the reason (constant difference, constant ratio), one for a correct rule.

core4 marks
A town has a population of 20002000 and grows by 5%5\% each year, so the population after nn years is P=2000×1.05nP = 2000 \times 1.05^n. (a) Find the population after 1,2,31, 2, 3 and 44 years to the nearest whole person. (b) A councillor suggests the population will grow by 100100 people each year, so P=2000+100nP = 2000 + 100n. Compare the two models after 1010 years.
Show worked solution →

(a) Substitute.

Years 0 1 2 3 4
2000×1.05n2000 \times 1.05^n 2000 2100 2205 2315 2431

(Exact values are 2315.252315.25 and 2431.01252431.0125.)

(b) Compare after 1010 years. Exponential: 2000×1.0510≈32582000 \times 1.05^{10} \approx 3258. Linear: 2000+100×10=30002000 + 100 \times 10 = 3000.

The exponential model gives about 258258 more people. The linear model adds the same amount each year, whereas the exponential model adds 5%5\% of an ever larger population, so the gap widens with time.

Marker's note: one mark for the table, one for each value after 1010 years, one for the comparison.

core3 marks
A culture of bacteria starts with 100100 cells and the number doubles every hour, so N=100×2tN = 100 \times 2^t where tt is the time in hours. (a) How many cells are there after 77 hours? (b) After how many whole hours does the culture first exceed 10 00010\,000 cells? (c) State one limitation of this model.
Show worked solution →
(a) After 7 hours
N=100×27=100×128=12 800N = 100 \times 2^7 = 100 \times 128 = 12\,800 cells.
(b) First above 10 00010\,000
Test whole hours: t=6t = 6 gives 100×64=6400100 \times 64 = 6400, and t=7t = 7 gives 12 80012\,800. So the culture first exceeds 10 00010\,000 after 77 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 12 80012\,800, one for checking t=6t = 6 and t=7t = 7, one for a valid limitation.

core4 marks
Ava invests $1000. Plan A pays simple interest of 6%6\% per year, so the value is 1000(1+0.06n)1000(1 + 0.06n). Plan B pays compound interest of 6%6\% per year, so the value is 1000×1.06n1000 \times 1.06^n. (a) Find the value of each plan after 22 years and after 1010 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 11 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 22 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 marks
A new car costs $30\,000 and its value falls by 15%15\% of its value each year, so after nn years its value is V=30 000×0.85nV = 30\,000 \times 0.85^n. (a) Find the value after 11, 33 and 55 years, to the nearest cent. (b) A friend uses a straight-line model that takes $4500 off the value each year, V=30 000−4500nV = 30\,000 - 4500n. Find the value after 77 years under each model. (c) Explain which model is more sensible for a long period.
Show worked solution →
(a) Declining balance
V(1)=30 000×0.85=$25 500.00V(1) = 30\,000 \times 0.85 = \$25\,500.00. V(3)=30 000×0.853=$18 423.75V(3) = 30\,000 \times 0.85^3 = \$18\,423.75. V(5)=30 000×0.855≈$13 311.16V(5) = 30\,000 \times 0.85^5 \approx \$13\,311.16.
(b) After 77 years
Exponential: 30 000×0.857≈$9617.3130\,000 \times 0.85^7 \approx \$9617.31. Straight line: 30 000−4500×7=30 000−31 500=−$150030\,000 - 4500 \times 7 = 30\,000 - 31\,500 = -\$1500.
(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 marks
A population grows by 5%5\% each year. Using P=P0×1.05nP = P_0 \times 1.05^n, 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 nn. The population has doubled when 1.05n≥21.05^n \ge 2. Trying values: 1.0514≈1.9801.05^{14} \approx 1.980, which is less than 22, and 1.0515≈2.0791.05^{15} \approx 2.079, which is at least 22. So it takes 1515 years.

Straight line comparison. A straight-line model adds a fixed amount (5%5\% of the starting value) every year. It would reach double the starting value after exactly 2020 years, since 20×5%=100%20 \times 5\% = 100\%. The exponential model doubles sooner because each year's 5%5\% is taken from a larger and larger total.

Marker's note: one mark for testing values around the answer, one for 1515, one for the explanation.

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