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Hello, my name is Mr. Clasper, and today we are going to be identifying outliers and explaining these from a scatter graph.

Let's take a look at this scatter graph.

The scatter graph shows the data of seven students and their time spent revising compared with their score on a maths test.

We can see that we have a positive correlation.

We're going to introduce another student to this class.

David spent 2.

5 hours revising and he scored 11 on his maths test.

Let's plot this data.

This is where David would be on our scatter graph.

In this example, David will be considered as an outlier as his data does not follow the general trend of the majority of the data already displayed.

Here is a question for you to try.

Pause the video to complete your task and click resume once you're finished.

And here are your solutions.

So we can see from the graph, we have a point to the bottom right which is not matching the pattern of the data.

Therefore this point is our outlier.

And for part b, we needed to describe the correlation.

Well we can see that as one variable increases, the other variable also increases, therefore we have a positive correlation.

And here's your last question.

Pause the video to complete your task and click resume once you're finished And here are your solutions.

So we can see that our outlier is identified at the top left of our graph, and it doesn't fit the general pattern of the rest of our points.

And for part b we have a negative correlation.

This is because as the age increases, the number of accidents decreases.

So as one variable increases the other decreases, therefore we have a negative correlation.

And that is the end of our lesson.

So we've been identifying outliers and explaining these from scatter graphs.

Why not give this a go in the exit quiz? I'll hopefully see you soon.