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 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEVOLDER Stijn | 72 |
| 4 | VAN GOOLEN Jurgen | 70 |
| 5 | STEEGMANS Gert | 82 |
| 7 | VERSTRAETEN Jan | 65 |
| 8 | KUYCKX Jan | 68 |
| 10 | WILLEMS Frederik | 67 |
| 12 | BOONEN Tom | 82 |
| 14 | CAPPELLE Andy | 71 |
| 15 | WEISSINGER René | 74 |
| 19 | TANKINK Bram | 71 |
| 21 | HIEKMANN Torsten | 70 |
| 23 | TRAKSEL Bobbie | 72 |
| 25 | MURAVYEV Dmitriy | 75 |
| 28 | MUTSAARS Ronald | 67 |
| 30 | SENTJENS Roy | 75 |