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 = 0.2 * weight - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MÉDEREL Maxime | 59 |
| 3 | JOLY Sébastien | 74 |
| 4 | DUQUE Leonardo Fabio | 59 |
| 5 | HINAULT Sébastien | 63 |
| 8 | DI GRÉGORIO Rémy | 67 |
| 9 | DRUJON Mathieu | 75 |
| 11 | HERVÉ Cédric | 60 |
| 14 | GOUBERT Stéphane | 62 |
| 16 | SALMON Benoît | 60 |
| 17 | COUTOULY Cédric | 72 |
| 18 | AUGÉ Stéphane | 65 |
| 19 | BODROGI László | 79 |
| 20 | VELASCO Iván | 65 |