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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORSGAARD Mathias | 88 |
| 2 | BRUNEL Alexys | 70 |
| 6 | DELPHIS Thomas | 70 |
| 7 | PRODHOMME Nicolas | 63 |
| 8 | BOILEAU Alan | 57 |
| 11 | RAUGEL Antoine | 70 |
| 15 | MILTIADIS Andreas | 74 |
| 16 | AVOINE Kévin | 70 |
| 19 | CHEVALIER Maxime | 60 |
| 20 | BURGAUDEAU Mathieu | 61 |
| 21 | ROUGIER-LAGANE Christopher | 69 |