[amp_mcq option1=”negative correlation” option2=”multiple correlation” option3=”divisor correlation” option4=”none of above” correct=”option1″]
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.