negative correlation
multiple correlation
divisor correlation
none of above
Answer is Right!
Answer is Wrong!
The correct answer is: A. negative correlation.
A perfect positive correlation is a correlation of +1.0, which means that there is a perfect linear relationship between two variables. A perfect negative correlation is a correlation of -1.0, which means that there is a perfect inverse linear relationship between two variables. In other words, as one variable increases, the other variable decreases.
A multiple correlation is a correlation between a dependent variable and two or more independent variables. A divisor correlation is a correlation between two variables that has been divided by a third variable.
Therefore, the opposite of a perfect positive correlation is a perfect negative correlation.