In: Statistics and Probability
Sample Co | 235.2222 |
Correl. |
0.98925 |
b (i) Is there a positive or negative relation between the two variables?
b (ii) Is there a strong linear relationship, weak linear relationship or no linear relationship between the two variables?
Solution:
Given:
Sample Co | 235.2222 |
---|---|
Correl. |
0.98925 |
Part b (i) Is there a positive or negative relation between the two variables?
Value of correlation coefficient is between -1 to +1.
If r is negative , then there is negative relation between the two variables
If r is positive, then there is positive relation between the two variables
Since r = 0.98925 is positive, there is positive relation between the two variables
Part b. (ii) Is there a strong linear relationship, weak linear relationship or no linear relationship between the two variables?
following are the interpretations are for correlation coefficient r :
1) If r = -1 , then there is perfect negative correlation
2) if -1 < r ≤ 0.80 , then there is Strong negative
correlation
3) if -0.80 < r ≤ -0.30, then there is moderate negative
correlation
4) if -0.30 < r < 0 , then there weak negative
correlation
5) if r = 0 , then there no or zero correlation
6) if 0 < r < 0.30 then there is weak positive
correlation
7) if 0.30 ≤ r < 0.80 , then there is moderate positive
correlation
8) if 0.80 ≤ r < 1 , then there is strong positive
correlation
9) If r = 1 , then there is perfect positive correlation
Since r = 0.98925 is very close to +1, thus there is a strong linear relationship