Modelling with Graphs (AQA Level 3 Mathematical Studies (Core Maths)): Revision Note
Exam code: 1350
Modelling with Graphs
How are graphs used to model real situations?
Real scenarios can be modelled using graphs
These can then be used to help solve problems
Different scenarios will require different types of graph
This includes the previously covered linear, quadratic, cubic, and exponential graphs
A common use of these graphs is to estimate data points that are not known
E.g. Start by measuring 10 data points for the real life scenario
Plot an appropriate graph
This graph can then be used to interpolate values that were not directly measured from the scenario
Interpolation is the process of reading data points from within the range of known data
E.g. If data is known between
and
, data for
can be found by interpolation
Extrapolation is the process of reading data points from beyond the range of known data
E.g. If data is known between
and
, data for
can be found by extrapolation
Extrapolation is much less valid than interpolation
This is because there is no evidence for if the trend or relationship continues outside of the collected data range
Worked Example
Jodie is tracking the value of her new car to model its depreciation.
She collects the following data using online valuations for her car for the first 5 years. The values are rounded to the nearest hundred pounds.
Number of years, | Value in £, |
|---|---|
0 | 20 000 |
1 | 17 600 |
2 | 15 600 |
3 | 13 700 |
4 | 12 100 |
5 | 10 700 |
(a) Plot a graph of this data and join the points with a smooth curve.
Answer:
Plot the values as accurately as you can and then join with a smooth curve

(b) Suggest two types of model which may fit this data.
Answer:
Consider the shape of the graph
It is not a straight line, so it is not a linear graph
It is decreasing either towards a stationary point, which suggests it could be quadratic
Or it could be continually decreasing, tending towards a lower limit, which suggests an exponential model
Quadratic or Exponential
(c) Jodie chooses to model the data with an equation: .
Using the data in the table, find possible values for and
.
Answer:
The value of is the
-intercept, when
This can be seen in the table and on the graph, as 20 000
The model is now
Use one of the data points from the table to substitute into the equation
Using the last value in the table, and
Solve for
Note that selecting a different data point may result in a different answer for , which is why the question asks for "possible" values - it is an approximate model, not an exact formula
(d) Suggest why this equation may not be suitable to model the value of the car.
Answer:
The suggested model is which is a positive quadratic.
The downward part of the quadratic will model the decrease in value well, but a positive quadratic will also have an upward curve, which will not model the decline in value accurately at all.
Using this positive quadratic model would predict that the car would start increasing in value, at an increasing rate, after the minimum value, which is highly likely to be incorrect.
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