A good starting point to research and very good at showing relationship between variables but doesn't demonstrate cause and effect
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
a. The correlation between X and Y is spurious b. X is the cause of Y c. Y is the cause of X d. A third variable is the cause of the correlation between X and Y
Absolutely not. The simplest way to demonstrate this is to consider a measure of agreement - disagreement. If we scored it so that "strongly agree" is 5 and "strongly disagree" is 1, we would get one value of the correlation. If we reverse-scored it, we would get exactly the same value, but with the opposite sign. The strength of the correlation is the same, but the direction of the relation has switched. Another consideration is the fact that the actual strength of the correlation is based on the square of its value. 0.20 squared is 0.04; 0.40 squared is 0.16. A correlation of 0.40 is four times as strong as a correlation of 0.20. But when you square something, you automatically lose the sign. The square of a negative number is positive. So by definition, correlations of the same size but different signs are equal in strength.
A good starting point to research and very good at showing relationship between variables but doesn't demonstrate cause and effect
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
Organizations can demonstrate ethical behavior by taking into account the effects of their actions on all stakeholders involved. When a behavior benefits one group disproportionately without considering the consequences, it can result in unethical behavior.
a. The correlation between X and Y is spurious b. X is the cause of Y c. Y is the cause of X d. A third variable is the cause of the correlation between X and Y
No.
Echoes demonstrate the reflection behavior of sound waves, where sound waves bounce off a surface and return back to the listener's ears.
Deviant behavior
A positive correlation between two variables, say X and Y, means that if one increases, the other will too. No correlation means that they are not related. A negative correlation means that as one increases, the other decreases. Normally you will see this in studies as "Recent studies demonstrated a positive correlation between eating too much and obesity." Or, "recent studies demonstrate a negative correlation between a healthy, balanced diet and obesity".
No correlational study is not cause and effect because correlation does not measure cause.
No a correlation method does not prove any kind of cause the only method that will prove Cause and Effect would be a Experiment Lab(hypothesis, Control group, Independent Variable ext...)
There may be a weak correlation, but there is no known mechanism to cause this and it is unlikely one will be found.