Maths

Common mistakes in scatter graphs and correlation

4 mistakes learners make with scatter graphs and correlation, each one named and explained.

All common mistakes

A scatter graph shows that two things move together, which is not the same as one of them causing the other.

A prediction beyond the data trusted like one inside it

What it looks like

You extend the line well past the last point and read off an answer with full confidence.

Why it happens

The line carries on just as easily off the end of the data as it does across it.

A worked example

Question. The data covers ages 5 to 11. You use the line to predict for age 30. How reliable is that?

A common answer. just as reliable, the line is the same line

The answer. not reliable. Nothing was measured out there and the pattern may not continue

Why. Reading inside the data is interpolation and is reasonable; going beyond it is extrapolation.

Put the two side by side

Inside the data: a fair prediction.
Outside it: a guess with a ruler.

Check where the last point is before you read anything off the line.

An outlier looked for only at the ends of the range

What it looks like

You check the biggest and smallest values and report no outliers, missing the point sitting well away from the line.

Why it happens

Outlier has been taught with lists of numbers, where the odd one out really is at one end.

A worked example

Question. On a scatter graph, where can an outlier be?

A common answer. only at the highest or lowest values

The answer. anywhere that sits far from the pattern of the other points

Why. On a scatter graph it is distance from the trend that makes a point an outlier, not its size.

Put the two side by side

In a list, an outlier is far from the other values.
On a scatter graph, it is far from the line.

Look for the point that the line had to ignore, wherever it sits.

Correlation read as cause

What it looks like

Ice cream sales and sunburn rise together, and you write that ice cream causes sunburn.

Why it happens

The two really do move together, and a cause is the first explanation that comes to mind for that.

A worked example

Question. Ice cream sales and sunburn both rise in the same months. What can you conclude?

A common answer. ice cream causes sunburn

The answer. they are correlated, most likely because hot weather raises both

Why. A third thing affecting both explains the pattern without either causing the other.

Put the two side by side

Correlation says they move together.
Cause says one makes the other happen.

Look for a third thing that could move both before claiming a cause.

The line of best fit forced through the origin

What it looks like

You start the line at (0, 0) because that is where lines start.

Why it happens

Straight-line graphs in algebra are usually drawn from the origin, and it looks like a natural anchor.

A worked example

Question. Where should a line of best fit begin?

A common answer. at the origin

The answer. wherever it best follows the points

Why. The line is there to follow the data, and nothing says the data passes through zero.

Put the two side by side

A line through the origin says zero gives zero.
A line of best fit says only what the points say.

Draw it through the middle of the points. Ignore the origin unless the points go there.

WAJD spots these patterns in your child's answers and names the one behind their wrong answers, instead of just marking them wrong.

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