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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ISTA Kevyn | 70 |
| 2 | HOOGERLAND Johnny | 65 |
| 3 | MOURIS Jens | 91 |
| 4 | RAVARD Anthony | 62 |
| 5 | RAST Grégory | 80 |
| 6 | SENTJENS Roy | 75 |
| 7 | POULHIÈS Stéphane | 75 |
| 8 | TRAKSEL Bobbie | 72 |
| 9 | HULSMANS Kevin | 75 |
| 10 | FLAHAUT Denis | 66 |
| 11 | STEURS Geert | 77 |
| 12 | WEYLANDT Wouter | 72 |
| 13 | EECKHOUT Niko | 73 |
| 14 | DOCKER Mitchell | 73 |
| 15 | CURVERS Roy | 73 |