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 = 0.5 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WEEMAES Sasha | 73 |
| 2 | SEYE Guillaume | 77 |
| 3 | VANHOUCKE Harm | 65 |
| 4 | APERS Ruben | 70 |
| 5 | VERSCHAEVE Viktor | 62 |
| 10 | VAN MOER Brent | 79 |
| 11 | REYNDERS Jens | 76 |
| 14 | BEULLENS Cedric | 79 |
| 15 | DEMEYERE Torsten | 78 |
| 22 | GRIGNARD Sébastien | 68 |
| 23 | MARIT Arne | 72 |
| 24 | VANHOOF Ward | 75 |
| 25 | VANOVERBERGHE Jens | 74 |
| 27 | DE MAEGHT Dorian | 79 |