In: Statistics and Probability
Identify the strength ("weak" "moderate" "strong") and direction ("positive" "negative") of the correlation coefficients.
Coefficient |
Strength |
Direction |
+.09 |
||
–.87 |
||
+.59 |
The correlation coefficient, denoted by r, is a measure of the
strength of the straight-line or linear relationship between two
variables. The correlation coefficient takes on values ranging
between +1 and -1. The following points are the accepted guidelines
for interpreting the correlation coefficient:
1) 0 indicates no linear relationship.
2) +1 indicates a perfect positive linear relationship: as one
variable increases in its values, the other variable also increases
in its values via an exact linear rule.
3) -1 indicates a perfect negative linear relationship: as one
variable increases in its values, the other variable decreases in
its values via an exact linear rule.
4) Values between 0 and 0.3 (0 and -0.3) indicate a weak positive
(negative) linear relationship via a shaky linear rule.
5) Values between 0.3 and 0.7 (-0.3 and -0.7) indicate a moderate
positive (negative) linear relationship via a fuzzy-firm linear
rule.
6) Values between 0.7 and 1.0 (-0.7 and -1.0) indicate a strong
positive (negative) linear relationship via a firm linear
rule
Answer
a) +0.09
Weak Positive Coefficient
b) -0.87
Strong Negative Coefficient
c) +0.59
Moderate Positive Coefficient