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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DELAPLACE Anthony | 65 |
| 3 | LAMMERTINK Maurits | 61 |
| 4 | BILBAO Pello | 60 |
| 5 | MOLARD Rudy | 62 |
| 6 | STEELS Stijn | 78 |
| 7 | REICHENBACH Sébastien | 64 |
| 9 | HERRADA Jesús | 70 |
| 10 | KREDER Wesley | 71 |
| 11 | KOSHEVOY Ilia | 62.5 |
| 12 | LAVIEU Antoine | 60 |
| 14 | SANZ Enrique | 67 |
| 15 | PREMONT Christophe | 69 |
| 17 | DE IESO Donato | 62 |
| 19 | POZZO Mattia | 68 |