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 = -0.9 * weight + 113
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | VEELERS Tom | 75 |
| 16 | DEHAES Kenny | 73 |
| 17 | HABEAUX Grégory | 68 |
| 19 | ISTA Kevyn | 70 |
| 20 | NEYENS Maarten | 74 |
| 21 | BLOT Guillaume | 71 |
| 23 | VERBIST Evert | 73 |
| 46 | HONIG Reinier | 61 |
| 51 | SURAY Gil | 67 |
| 56 | VANDENBERGH Stijn | 86 |
| 59 | YATES Jeremy | 73 |
| 72 | INGELS Nick | 70 |
| 78 | VANHEULE Bart | 76 |
| 80 | VANENDERT Jelle | 62 |
| 87 | CALLEEUW Joeri | 71 |
| 88 | DEROO David | 61 |
| 95 | DUIJN Huub | 73 |