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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEN DAM Laurens | 67 |
| 2 | RENDERS Sven | 63 |
| 3 | SIJMENS Nico | 69 |
| 4 | WYNANTS Maarten | 74 |
| 5 | SENTJENS Roy | 75 |
| 6 | CUMMINGS Steve | 73 |
| 7 | ROESEMS Bert | 81 |
| 9 | VIERHOUTEN Aart | 71 |
| 10 | VANSUMMEREN Johan | 79 |
| 11 | KOLOBNEV Alexandr | 64 |
| 13 | LÖWIK Gerben | 72 |
| 14 | VAN DE WALLE Jurgen | 74 |
| 15 | VEUCHELEN Frederik | 75 |
| 16 | VOIGT Jens | 76 |