Explain why it is advisable to plot a scatter diagram before interpreting a correlation coefficient calculated for a sample drawn from a bivariate distrubution.
Skect scatter diagrams indicating the following:
(i) a linear product moment correlation coefficient close to zero but an obvious relation between the variables.
(ii) a linear product moment correlation coefficient showing high positive correlation but no apparent relation between the variables.
For part (i) and (ii), can briefly explain to how the scatter diagram will look like?
Thank you. Appreciate those who can help