Match the description (left) with the scatter plot (right).

Note: The computer won’t tell us if the relationship we see in a scatter plot is linear, so it’s important to train our eyes to decide this ourselves. For linear relationships, we should train our eyes to assess their direction and get a feel for their strength, so that we have a sense of whether the computed results make sense.

The relationship appears to be linear, negative, and of moderate strength.

1

A

a collection of points, closely resembling a line sloping from the top left to the bottom right

This relationship is nonlinear.

2

B

a collection of points, some clustered in the lower left, some clustered in the upper right

The x and y variables in this dataset do not appear to be related.

3

C

A scatter plot showing a nonlinear (curved) relationships

The relationship appears to be linear, positive, and strong.

4

D

a loose cluster of points moving from the top left to the bottom right

The relationship appears to be linear, negative, and strong.

5

E

a scatter plot with points distributed all over the graph

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