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Scatterplot (0, 4) (1, 6) (2, 9) (3, 13.5) (4, 20.3): linear or…

Step by step, with the reason for every step · Linear or exponential model from a scatterplot · Statistics

Step by step

The question

Question: does a linear or an exponential model fit this scatterplot better?

linear or exponential?

1 Look at the points

Each dot is one point of the data: across is x, up is y.

x goes up by 1 each time, the same step.

So we can compare each point with the one before.

x: 0, 1, 2, 3, 4 same step: + 1

We write the points in a table.

2 Check the differences

Linear means: about the same number is added each step.

So we look at the change from one y to the next: plus 2, then plus 3, then plus 4.5, then plus 6.8.

The changes are getting bigger and bigger.

They are not about the same.

So it is not linear.

= + 2, + 3, + 4.5, + 6.8: not the same

Careful!

Going up each step does not make it linear.

Linear needs about the same number added every step.

Careful: it goes up each step, but that is not linear

3 Check the ratios

Exponential means: we multiply by about the same number each step.

So we divide each y by the one before.

6/4 is about 1.5.

9/6 is about 1.5.

13.5/9 is about 1.5.

20.3/13.5 is about 1.5.

= 64 ≈ 1.5, 96 ≈ 1.5, 13.59 ≈ 1.5, 20.313.5 ≈ 1.5

All close to 1.5.

y is multiplied by about 1.5 each step.

So an exponential model fits better.

= about × 1.5 every step → exponential

4 Check

Let's check on the picture.

A straight line from the first point to the last one misses the points in the middle.

A curve that multiplies by about 1.5 each step goes through the points, or very close.

So the exponential model is right!

the curve passes close to every point; the line does not

Let's look back.

First: look at the points.

Then: check the differences.

Then: check the ratios.

Last: check.

Answer
= about × 1.5 every step → exponential

Your turn

Try this one yourself, then check:

linear or exponential?
Show the answer
exponential

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