direct variation or positive correlation.
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A positive relationship.
It need not be a linear relationship. The length of the side of a square and its area increase and decrease together. But the relationship is quadratic, not linear. If you double the length you increase the area 4-fold.
It is not direct variation because that requires both of them to be 0 at the same time. For example, the temperature, as measured on the Celsius or Fahrenheit scale increase or decrease together. But the zeros on the two scales are different. So, if you double the C you do not always double the F.
It is a positive relationship.
Are in direct proportion
If the correlation is positive, as one increases so does the other.
The slope of the line. A positive slope shows that the two variables increase or decrease together. A negative slope indicates they move in opposite directions. A slope of 0 indicates that the "dependent" variable has the same, constant, value whatever value the independent variable takes.
Correlation only establishes the fact that the two variables in question change together - either one increases as the other decreases or they both increase together. It is possible that changes in the first cause changes in the second, or that changes in the second cause changes in the first, or that there is some third variable that is causing changes in both. For example, consider an infant and measure its height and vocabulary from age 2 to age 8. In normal circumstances these two variables (height and number of words he or she knows) increase together. But that does not mean that either of these factors causes the other. The obvious culprit here is time or age. Another possible, but less important factor may be nutrition. Whatever! The main point is greater height does not increase the child's vocabulary not does an increased vocabulary increase its height.