i. If the value of r is -0.96, what does this indicate about the dependent variable as the independent variable increases? ii. What is the value of the correlation coefficient if there is perfect correlation?
iii. If the dependent variable is measured in dollars, in what units is the standard error of estimate measured?
A) it increases; zero; dollars squared
B) it decreases; +/-1.0; dollars squared
C) it increases; 1.0; dollars ($)
D) it decreases; +/-1.0; dollars ($)
E) it decreases; zero; dollars

Question

Quizplus · Accepted Answer

i. A correlation coefficient (r) of -0.96 indicates a strong negative correlation, meaning as the independent variable increases, the dependent variable decreases. ii. A perfect correlation, whether perfectly positive or perfectly negative, has a correlation coefficient value of +1.0 or -1.0. iii. The standard error of estimate is measured in the same units as the dependent variable, which in this case is dollars ($).

I If the Value of R Is -0