Consider a correlation coefficient of .095 between variables A and B. The correlation coefficient was calculated from a sample of 1100 respondents and is statistically significant, p .10.

So, when should marketing analysts consider a correlation strong enough to even consider given the issue raised above? (Please see attached, I've seen this answer floating around but I need more clarification)

Fortesting correlation the null hypothesis will be H1] : F = 5 against the alternative H1 : F ? l] ., where P is the correlation coefficient of the population. A strong positive correlation means I3 is close to 1. Then the correlation will be signicant. Here the correlation between C and D is close to 1 than that of R and B which is somewhat close to D. So the correlation between C and D is strong enough to even considerwhen comparing to A and B