Question

Respond to this discussion, what feed back could you give?

Correlation is a statistical technique used to determine the relationship between two or more variables (Thomas, Nelson, & Silverman, 2015). This is a way to determine if there are positive or negative relationships between variables in research. For example, if someone were to research the effect of different amounts of creatine monohydrate supplementation in high school athletes, they may notice a correlation between the amounts of supplementation and the athletes max bench press. Those with a higher supplementation would notice greater gains than those with lower amounts. While their are many other factors to still consider, researchers can use this method to observe relationships and make determinations as to what causes certain outcomes.

Answer 1

Feedback :Correlation measure the relationship between two variable .unlike in experimentation ,the relationship observe in natural enviroment ,there no experimenter to control variable ,no correlation study can determine how phenomenon occured.This show correlation does't necesarily show causation.

correlation cannot produce is information regarding which variable influencing the other , as in our example athletes high amount monohydrate supplementation would greater max bench press but you can't determine that monohydrate supplement leads greater gain .Also third variable might be causing for eg, hardwork , extra practice, is certainly there.

correlation uncover relationship , it cannot provide conclusive reason, a correlation finding does'nt reveal which variable influence the other

Also people act differently when someone waatching them.

It fail to say "why" that is sometimes very much needed.