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 - 14
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | CRETSKENS Wilfried | 75 |
| 3 | PENCOLÉ Franck | 74 |
| 4 | VIERHOUTEN Aart | 71 |
| 12 | VANLANDSCHOOT James | 67 |
| 14 | LÖWIK Gerben | 72 |
| 17 | PRONK Matthé | 73 |
| 20 | DE GROOT Bram | 65 |
| 22 | HUNT Jeremy | 76 |
| 25 | RAST Grégory | 80 |
| 26 | BODROGI László | 79 |
| 32 | CLERC Aurélien | 71 |