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Fig. 6.3

Example of a scatterplot for a low, positive correlation (r =?0.23)

We have not shown a Figure of a zero correlation because it is easy to imagine

what it looks like as a scatterplot. A zero correlation of r = 0.00 means that there

is 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.

Figure
6.4
shows the scatterplot for a low, negative correlation of r =-0.22

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. 6.4

Example of a scatterplot for a low, negative correlation (r =-0.22)

Figure
6.5
shows the scatterplot for a moderate, negative correlation of r =-0.39

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

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