1. The linear correlation coefficient is always between -1 and 1, inclusive.
2. IF r=+1, then a perfect positive linear relation exists between the two variables
3. If r=-1 then a perfect negative linear relation exists between the two variable
4. The close r is to +1 the stronger is the evidence of positive association between the two variables
5. the closer r is to -1 the stronger is the evidence of negative association between the two variables
6. If r is close to 0, then little or no evidence exists of a linear relation between the two variables. So r close to 0 does not imply no relation, just no linear relation
7. The linear correlation coefficient is a unitless measure of association. So the unit of measure for x and y plays no role in the interpretation of r.
8. Tge correlation coefficient is not resistant. Therefore, an observation that not follow the overall pattern of the data could affect the value of the linear correlation coefficient.