- To accept the strong correlation as is.
- To urgently explain that Pearson's correlation coefficient only measures linear association, and a non-linear relationship might be missed or misinterpreted.
- To ignore the scatter plot.
- To assume all relationships are linear.
181. A critical situational public health agency is presented with a report claiming a strong correlation between two variables, but the scatter plot shows a highly non-linear relationship. What is the urgency for a biostatistician’s clarification?
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