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 = 0.1 * weight + 7
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURGHARDT Marcus | 75 |
| 2 | MCCARTY Jonathan Patrick | 68 |
| 3 | SANCHEZ Fabien | 75 |
| 4 | GÈNE Yohann | 67 |
| 5 | NAIBO Carl | 62 |
| 6 | FOTHEN Markus | 71 |
| 9 | SPRICK Matthieu | 71 |
| 12 | MARINO Jean-Marc | 65 |
| 17 | BONNAIRE Olivier | 67 |
| 18 | LEQUATRE Geoffroy | 64 |
| 20 | PERGET Mathieu | 64 |
| 26 | BLAIN Alexandre | 82 |
| 28 | FRISCHKORN William | 68 |