# Correlation coefficients indication

1. A correlation of 0.00 indicates

a. a perfect, balanced relationship between the variables.

b. an inverse relationship is present.

c. no relationship between the variables.

d. a mathematical error in computation.

1. A correlation of -1.17 indicates

a. a strong negative correlation.

b. an insignificant relationship between variables that could have occurred by chance.

c. a significant relationship between variables that could not have occurred by chance.

d. a mathematical error in computation.

1. Which of the following correlation coefficients indicates the strongest relationship?

a. +1.25

b. -.26

c. -.83

d. +.22

1. Which of the following correlation coefficients indicates the weakest relationship?

a. +.75

b. -.26

c. -.83

d. +.12

1. Which of the following correlation coefficients indicates the weakest relationship?

a. +.55

b. -.76

c. -.23

d. +.32

1. A correlation coefficient of +.10 would indicate a

a. strong positive correlation.

b. weak positive correlation.

c. perfect positive correlation.

d. mathematical error in computation.

1. A correlation coefficient of -.85 would indicate a

a. strong negative correlation.

b. weak negative correlation.

c. causal relationship.

d. mathematical error in computation.

1. The strongest relationships are

a. negative correlations.

b. positive correlations.

c. perfect correlations.

d. zero correlations.

1. Correlations of +1.00 and -1.00 are considered

a. the weakest correlations.

b. the strongest correlations.

c. moderately strong correlations.

d. mathematical errors since correlations cannot be greater than +.50 or -.50.

1. If a correlation is _, you can predict someone’s score on one variable without error if you know their score on the other variable.

a. positive

b. negative

c. perfect

d. balanced