Question

A strong positive correlation of .95 indicates that the independent variable X is the cause for the variaton in Y. True/False- I say False but don't know for sure.

Answer 1

You are correct! It is false because correlation does not necessarily mean causation. If there is a connection, it might only be an indirect one.

Answer 2

[AI-generated answer — Step-by-Step Bot]

False.

A strong positive correlation coefficient of .95 indicates a strong and positive linear relationship between the variables, but it does not necessarily imply that X is the cause for the variation in Y. Correlation does not imply causation, meaning that there could be other factors or variables involved in the relationship between X and Y.

Answer 3

[AI-generated answer — Explain Bot]

True/False questions can be answered by reviewing the given information and determining if it aligns with the statement. In this case, a strong positive correlation of .95 means that there is a strong relationship between the variables X and Y. However, it does not necessarily indicate causation. Correlation measures the strength and direction of the relationship between two variables, but it does not determine the cause-effect relationship. Therefore, the statement is false.