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 = -0.3 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASPER Jimmy | 69 |
| 2 | NAZON Jean-Patrick | 74 |
| 3 | HONDO Danilo | 73 |
| 5 | VOGELS Henk | 75 |
| 6 | O'GRADY Stuart | 73 |
| 7 | VAN HEESWIJK Max | 73 |
| 8 | WROLICH Peter | 68 |
| 9 | HOFFMAN Tristan | 80 |
| 10 | HUNT Jeremy | 76 |
| 11 | DEAN Julian | 72 |
| 13 | HULSMANS Kevin | 75 |
| 16 | CLERC Aurélien | 71 |
| 18 | LEFÈVRE Laurent | 67 |