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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HEULOT Stéphane | 69 |
| 3 | AUS Lauri | 75 |
| 4 | SKIBBY Jesper | 70 |
| 6 | SEVILLA Óscar | 62 |
| 8 | DE WOLF Steve | 67 |
| 9 | HINAULT Sébastien | 63 |
| 11 | AUGER Ludovic | 78 |
| 14 | SALMON Benoît | 60 |
| 15 | GUESDON Frédéric | 73 |