If there is a strong correlation between variables a and b, what is the most likely explanation?

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Which of the following correlations shows the strongest relationship between two variables?

According to the rule of correlation coefficients, the strongest correlation is considered when the value is closest to +1 (positive correlation) or -1 (negative correlation). A positive correlation coefficient indicates that the value of one variable depends on the other variable directly.

What does high positive correlation mean?

A positive correlation is a relationship between two variables that tend to move in the same direction. A positive correlation exists when one variable tends to decrease as the other variable decreases, or one variable tends to increase when the other increases.

When two variables are correlated can the researcher be sure that one variable causes the other Why or why not?

Even if there is a correlation between two variables, we cannot conclude that one variable causes a change in the other. This relationship could be coincidental, or a third factor may be causing both variables to change.

What are two variables that are positively correlated?

A positive correlation exists when two variables move in the same direction as one another. A basic example of positive correlation is height and weight—taller people tend to be heavier, and vice versa.