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