Correlation is the measure of the similarity in the trend of two variables or between the pattern of functional change between any two variables. A high correlation indicates that one variable follows the same pattern as the other variable does. However through correlation, one cannot say that the two variables are functionally related to each other. Example, pattern of weather change and change in population of humans. These two are not related but similarities in their pattern of change will wrongly indicate that there's a relation between the two. Similarly between marital satisfaction and sexual frequency, a correlation may mean that one varies like the other. However, marital satisfaction is also strongly depending on economical situation of the subjects, behaviour, complex emotions, etc. And the order of these variables will influence the marital satisfaction. Her findings are not useful in establishing any relationship between the two.
Observations allow us to collect data that we can connect back to the central problem. From this data we can start to form hypotheses (predictions on possible solutions or outcomes).
Answer: Feedback loops are biological mechanisms whereby homeostasis is maintained. Some examples of positive feedback are contractions in child birth and the ripening of fruit; negative feedback examples include the regulation of blood glucose levels and osmoregulation.
