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 + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRESCHEL Matti | 70 |
| 2 | MAASKANT Martijn | 76 |
| 3 | SIEBERG Marcel | 80 |
| 4 | WEYLANDT Wouter | 72 |
| 5 | MINARD Sébastien | 65 |
| 6 | DYUDYA Volodymyr | 80 |
| 8 | STAMSNIJDER Tom | 76 |
| 10 | DUIJN Huub | 73 |
| 12 | INGELS Nick | 70 |
| 13 | GÈNE Yohann | 67 |
| 14 | WESTPHAL Carlo | 75 |
| 15 | DRANCOURT Pierre | 68 |
| 16 | RAVARD Anthony | 62 |