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 = 0.7 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VALLÉE Boris | 79 |
| 4 | CAPIOT Amaury | 69 |
| 5 | VERMEULEN Emiel | 64 |
| 10 | GOOLAERTS Michael | 80 |
| 16 | DE BOCK Stijn | 68 |
| 17 | VLIEGEN Loïc | 70 |
| 20 | DEGREVE Martijn | 72 |
| 21 | VAN GESTEL Dries | 74 |
| 29 | NOPPE Christophe | 73 |
| 38 | VERGAERDE Otto | 74 |
| 42 | BOONS Ruben | 85 |
| 46 | SLABINCK Indiana | 65 |
| 59 | VAN DEN BROEK Seppe | 78 |