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The Pearson correlation coefficient measures the
linear association between two scale variables.
The correlation reported in the table is negative(!),
although not significantly different from 0,
which suggests that designers should not focus their
efforts on making cars more fuel efficient because
there isn't an appreciable effect on sales.
However, the Pearson correlation coefficient works best when the variables are approximately normally distributed and have no outliers. A scatterplot can reveal these possible problems.
Graphs
The resulting scatterplot shows a point that is far to the right of the others.
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Correlation Matrix |