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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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