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Fig. 6.3
Example of a Scatterplot for a Low, Positive Correlation (r

¼þ

.23)

Fig. 6.4
Example of a Scatterplot for a Low, Negative Correlation (r
¼
─
.22)

no relationship between X and Y and the “picture” drawn around the data points

would be a perfect circle in shape, indicating that you cannot use X to predict Y

because these two variables are not correlated with one another.

Fig.
6.4
shows the scatterplot for a low, negative correlation of
r

.22
which

means that each X is a poor predictor of Y in an inverse relationship, meaning that

as X increases, Y decreases (see Fig.
6.4
). In this case, it is a negative correlation

because the “football” you could draw around the data points slopes down and to

the right.

Fig.
6.5
shows the scatterplot for a moderate, negative correlation of
r

¼
─

.39

which means that X is a moderately good predictor of Y, although there is an

inverse relationship between X and Y (i.e., as X increases, Y decreases; see

¼
─

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