Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 2 | NIBALI Vincenzo | 65 |
| 3 | KREUZIGER Roman | 65 |
| 4 | CAVENDISH Mark | 70 |
| 5 | FARRAR Tyler | 73 |
| 6 | HORNER Chris | 70 |
| 7 | CACCIA Diego | 70 |
| 8 | BOASSON HAGEN Edvald | 75 |
| 9 | HOOGERLAND Johnny | 65 |
| 10 | NOCENTINI Rinaldo | 60 |
| 12 | FREIRE Óscar | 63 |
| 13 | GREIPEL André | 80 |
| 14 | VAN HUMMEL Kenny | 64 |
| 15 | BOARO Manuele | 64 |
| 16 | SCARPONI Michele | 62 |
| 17 | PIRAZZI Stefano | 62 |