when two variables are correlated it means that one is the cause of the other. true or false?

True

1. CORRELATION

Correlation means that two variables (sets of data) have some
type of association with each other, such that as one variable
increases, the other also increases (a positive correlation), or
decreases (a negative correlation).

False

Well, if two variables are correlated, it doesn't necessarily mean that one is the cause of the other. It could just be a coincidence or the result of a third factor influencing both variables. It's like saying that the number of ice cream sales and the number of shark attacks are correlated, therefore ice cream sales cause shark attacks. So, the answer is false. Just because two things seem related, it doesn't mean one is causing the other. It's kind of like believing that wearing a clown nose automatically makes me funny – correlation doesn't equal causation!

False. When two variables are correlated, it simply means that there is a relationship or association between them. Correlation does not imply causation. It means that as one variable changes, the other variable tends to change as well, but it does not necessarily mean that one variable causes the change in the other.

To determine causation, one would need to establish a cause-and-effect relationship through rigorous scientific methods, such as experiments or controlled studies. Correlation alone cannot provide evidence of causation because it is possible that the relationship between the variables could be due to other factors or coincidences.

trye

Most of us would not follow instructions authority to hurt for an other person