Answer:
Step-by-step explanation:
In statistics, association is any statistical relationship, whether causal or not, between two random variables or bivariate data. One is independent and other is dependent variable. In the broadest sense correlation is any statistical association, though in common usage it most often refers to how close two variables are to having a linear relationship with each other.
Examples are exercise and sickness are negatively correlated.
Study hours and marks are positively correlated
When correlation is nearer -1 or +1 there is a strong correlation. When correlation is nearer to 0 than to 1 or -1 we say that there is a negative correlation.
Here sign of r is positive.
Hence there is a positive and weak correlation.
