Linear association - a relationship between two variables where the change in one variable is directly proportional to the change in the other variable.
No association - there is no relationship or correlation between two variables.
Negative association - a relationship between two variables where an increase in one variable is associated with a decrease in the other variable.
Non-linear association - a relationship between two variables that is not linear, meaning that the change in one variable does not create a proportional change in the other variable.
what does each of these mean?
linear association
no association
negative association
non-linear association
1 answer