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 + 47
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NIJDAM Jelle | 70 |
| 3 | THIJS Erwin | 69 |
| 4 | SERGEANT Marc | 76 |
| 6 | DIERCKXSENS Ludo | 71 |
| 7 | FEYS Wim | 80 |
| 11 | BLAUDZUN Michael | 66 |
| 12 | VOGELS Henk | 75 |
| 13 | STEELS Tom | 73 |
| 14 | HOFFMAN Tristan | 80 |
| 21 | DERNIES Michel | 75 |
| 24 | VERSTREPEN Johan | 66 |
| 25 | VAN DER POEL Adrie | 70 |
| 26 | OZERS Kaspars | 73 |
| 27 | PIZIKS Arvis | 70 |
| 30 | FRASER Gordon | 71 |