In: Statistics and Probability
|
Course Score (x) |
No. of Problem (y) |
|
15.2 |
225 |
|
17.4 |
335 |
|
12.9 |
195 |
|
16.2 |
342 |
|
19.5 |
416 |
|
23.1 |
532 |
|
20.4 |
422 |
|
26.1 |
624 |
|
24.4 |
554 |
|
19.1 |
434 |
a) From the given data


b) Correlation Deterimination r2 = 0.98372 = 0.9676
i.e. 96.76% of variation in the No. of problem is explained by the Course score (X)
c) Test for correlation coefficient:

Thus we conclude that there exist correlation or association between Course Score (x) and No. of Problem (y)
d) Regression Equation:


e) Correlation measure how much the relationship between Course Score (x) and No. of Problem (y) exist but regression equation is used to predict the Y values for various x values are know with the correlation coefficient