Steply

Linear or exponential model from a scatterplot

Statistics · 20 problems, easy to harder

▶ Watch the first one solved

How we do it

  1. Look at the points
  2. Check the differences
  3. Check the ratios
  4. Check

The steps for Scatterplot (0, 2) (1, 4) (2, 8) (3, 16) (4, 32): linear or…. Every solution names its steps, so you always know what comes next.

Worked examples

Scatterplot (0, 2) (1, 4) (2, 8) (3, 16) (4, 32): linear or… Easy

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 4, then plus 8, then plus 16.

The changes are getting bigger and bigger.

They are not about the same.

So it is not linear.

= + 2, + 4, + 8, + 16: 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.

4/2 is 2.

8/4 is 2.

16/8 is 2.

32/16 is 2.

= 42 = 2, 84 = 2, 168 = 2, 3216 = 2

The same number.

y is multiplied by 2 each step.

So an exponential model fits better.

= × 2 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 2 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
= × 2 every step → exponential

▶ Watch it solved

Linear or exponential: scatterplot (0, 5) (1, 10) (2, 21) (3, 39)… Medium

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 5, then plus 11, then plus 18, then plus 42.

The changes are getting bigger and bigger.

They are not about the same.

So it is not linear.

= + 5, + 11, + 18, + 42: 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.

10/5 is about 2.

21/10 is about 2.1.

39/21 is about 1.9.

81/39 is about 2.1.

= 105 ≈ 2, 2110 ≈ 2.1, 3921 ≈ 1.9, 8139 ≈ 2.1

All close to 2.

y is multiplied by about 2 each step.

So an exponential model fits better.

= about × 2 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 2 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 × 2 every step → exponential

▶ Watch it solved

Scatterplot (0, 2) (1, 5) (2, 13) (3, 31) (4, 79) (5, 195): linear… Harder

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, 5 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 3, then plus 8, then plus 18, then plus 48, then plus 116.

The changes are getting bigger and bigger.

They are not about the same.

So it is not linear.

= + 3, + 8, + 18, + 48, + 116: 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.

5/2 is about 2.5.

13/5 is about 2.6.

31/13 is about 2.4.

79/31 is about 2.5.

195/79 is about 2.5.

= 52 ≈ 2.5, 135 ≈ 2.6, 3113 ≈ 2.4, 7931 ≈ 2.5, 19579 ≈ 2.5

All close to 2.5.

y is multiplied by about 2.5 each step.

So an exponential model fits better.

= about × 2.5 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 2.5 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 × 2.5 every step → exponential

▶ Watch it solved

Practice

Try each one, then open the answer. Stuck? Open the problem to watch every step.

Easy

  1. scatterplot (0, 2) (1, 4) (2, 8) (3, 16) (4, 32): linear or exponential
    Answer
    = × 2 every step → exponential
  2. scatterplot (0, 3) (1, 7) (2, 11) (3, 15) (4, 19): linear or exponential
    Answer
    = about the same added each step → linear
  3. scatterplot (0, 1) (1, 3) (2, 9) (3, 27) (4, 81): linear or exponential
    Answer
    = × 3 every step → exponential
  4. scatterplot (0, 40) (1, 35) (2, 30) (3, 25) (4, 20): linear or exponential
    Answer
    = about the same added each step → linear
  5. scatterplot (0, 64) (1, 32) (2, 16) (3, 8) (4, 4): linear or exponential
    Answer
    = × 0.5 every step → exponential
  6. scatterplot (1, 5) (2, 10) (3, 15) (4, 20) (5, 25): linear or exponential
    Answer
    = about the same added each step → linear

Medium

  1. linear or exponential: scatterplot (0, 5) (1, 10) (2, 21) (3, 39) (4, 81)
    Answer
    = about × 2 every step → exponential
  2. scatterplot (1, 10) (2, 15) (3, 21) (4, 25) (5, 30): linear or exponential
    Answer
    = about the same added each step → linear
  3. scatterplot (0, 100) (1, 52) (2, 24) (3, 13) (4, 6): linear or exponential
    Answer
    = about × 0.5 every step → exponential
  4. scatterplot (0, 12) (1, 19) (2, 25) (3, 33) (4, 40): linear or exponential
    Answer
    = about the same added each step → linear
  5. scatterplot (0, 3) (1, 9) (2, 26) (3, 80) (4, 245): linear or exponential
    Answer
    = about × 3 every step → exponential
  6. scatterplot (0, 50) (1, 41) (2, 29) (3, 21) (4, 10): linear or exponential
    Answer
    = about the same added each step → linear
  7. scatterplot (2, 3) (4, 6) (6, 12) (8, 24) (10, 48): linear or exponential
    Answer
    = × 2 every step → exponential
  8. scatterplot (0, 8) (2, 14) (4, 19) (6, 26) (8, 32): linear or exponential
    Answer
    = about the same added each step → linear

Harder

  1. scatterplot (0, 2) (1, 5) (2, 13) (3, 31) (4, 79) (5, 195): linear or exponential
    Answer
    = about × 2.5 every step → exponential
  2. scatterplot (1, 7) (2, 12) (3, 18) (4, 23) (5, 27) (6, 33): linear or exponential
    Answer
    = about the same added each step → linear
  3. scatterplot (0, 200) (1, 150) (2, 113) (3, 84) (4, 63): linear or exponential
    Answer
    = about × 0.75 every step → exponential
  4. scatterplot (0, 4) (1, 6) (2, 9) (3, 13.5) (4, 20.3): linear or exponential
    Answer
    = about × 1.5 every step → exponential
  5. scatterplot (0, 1.5) (1, 3) (2, 6.1) (3, 11.9) (4, 24.2): linear or exponential
    Answer
    = about × 2 every step → exponential
  6. scatterplot (5, 20) (10, 31) (15, 39) (20, 50) (25, 61): linear or exponential
    Answer
    = about the same added each step → linear