- 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.
- 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.
- Which of the following correlation coefficients indicates the strongest relationship?
a. +1.25
b. -.26
c. -.83
d. +.22
- Which of the following correlation coefficients indicates the weakest relationship?
a. +.75
b. -.26
c. -.83
d. +.12
- Which of the following correlation coefficients indicates the weakest relationship?
a. +.55
b. -.76
c. -.23
d. +.32
- 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.
- A correlation coefficient of -.85 would indicate a
a. strong negative correlation.
b. weak negative correlation.
c. causal relationship.
d. mathematical error in computation.
- The strongest relationships are
a. negative correlations.
b. positive correlations.
c. perfect correlations.
d. zero correlations.
- 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.
- 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