If a causative relationship between the two variables is proven, there will always be a correlative relationship between these two variables.
True
or
False
False.
While a causative relationship implies a correlative relationship, the reverse is not always true. A causative relationship means that changes in one variable directly cause changes in the other variable. On the other hand, a correlative relationship means that two variables are statistically related to each other, but without one causing changes in the other.
To determine if a causative relationship exists between two variables, you need to conduct a well-designed scientific study that includes a controlled experiment, data collection, and statistical analysis. This process aims to establish a cause-and-effect relationship between the variables by manipulating one variable and observing the resulting changes in the other.
However, merely establishing a correlative relationship, where variables are statistically related, doesn't provide evidence of a cause-and-effect relationship. Correlation does not imply causation, meaning that the relationship may be due to chance, a third variable, or other factors not yet discovered.
In summary, a causative relationship between two variables implies a correlative relationship, but it's important to remember that a correlative relationship does not always imply causation.