In: Statistics and Probability
-Compute the sample correlation coefficient between the price and the number of flash drives sold. Also, develop a least-squares estimated regression line.
| Price (x) | Units sold (y) | 
| 34 | 4 | 
| 36 | 4 | 
| 32 | 6 | 
| 35 | 5 | 
| 31 | 9 | 
| 38 | 2 | 
| 39 | 1 | 
Solution :
| X | Y | XY | X^2 | Y^2 | 
| 34 | 4 | 136 | 1156 | 16 | 
| 36 | 4 | 144 | 1296 | 16 | 
| 32 | 6 | 192 | 1024 | 36 | 
| 35 | 5 | 175 | 1225 | 25 | 
| 31 | 9 | 279 | 961 | 81 | 
| 38 | 2 | 76 | 1444 | 4 | 
| 39 | 1 | 39 | 1521 | 1 | 
| n | 7 | 
| sum(XY) | 1041.00 | 
| sum(X) | 245.00 | 
| sum(Y) | 31.00 | 
| sum(X^2) | 8627.00 | 
| sum(Y^2) | 179.00 | 
| Numerator | -308.00 | 
| Denominator | 326.02 | 
| r | -0.9447 | 
| r square | 0.8925 | 
| Xbar(mean) | 35.0000 | 
| Ybar(mean) | 4.4286 | 
| SD(X) | 2.3570 | 
| SD(Y) | 2.1602 | 
| b | -0.8462 | 
| a | 34.0440 | 


sample correlation coefficient = r = -0.9447
Regression line = 34.0440 - 0.8462 x