Final answer:
A positive correlation means that when one variable increases, the other variable also increases, and when one variable decreases, the other variable also decreases. A negative correlation means that when one variable increases, the other variable decreases, and vice versa.
Step-by-step explanation:
A positive correlation means that when one variable increases, the other variable also increases, and when one variable decreases, the other variable also decreases. A negative correlation means that when one variable increases, the other variable decreases, and vice versa.
The correlation coefficient, represented by the letter r, indicates the strength and direction of the relationship between variables. The closer r is to 1 (positive or negative), the stronger the relationship, and the more predictable changes in one variable will be as the other variable changes. A correlation coefficient of 0 indicates no relationship between the variables.
It is important to note that correlation does not imply causation, and further experimentation is required to establish a cause-and-effect relationship.