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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CHAVANEL Sylvain | 73 |
| 4 | DURAND Jacky | 76 |
| 5 | HULSMANS Kevin | 75 |
| 6 | BOONEN Tom | 82 |
| 7 | MARICHAL Thierry | 72 |
| 8 | PRONK Matthé | 73 |
| 9 | BODROGI László | 79 |
| 10 | NARDELLO Daniele | 74 |
| 12 | BRUYLANDTS Dave | 63 |
| 13 | SUNDERLAND Scott | 65 |
| 15 | LOTZ Marc | 76 |
| 17 | MCRAE William Chann | 62 |