[Steps Shown] Why is it advisable to generate a scatterplot before computing a correlation coefficient between two variables? Describe how a scatterplot
Question: Why is it advisable to generate a scatterplot before computing a correlation coefficient between two variables? Describe how a scatterplot might differ when viewing correlations that represent positive, negative, and no relationship between predictor and criterion variables. Is it possible to have a relation between variables that systematic (i.e., reliable and predictable) yet not linear?
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