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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HUREL Tony | 66 |
| 3 | PETRUŠ Lubomir | 58 |
| 4 | DRON Boris | 72 |
| 5 | COQUARD Bryan | 59 |
| 7 | MEISEN Marcel | 62 |
| 9 | VACHON Florian | 65 |
| 10 | BREEN Vegard | 74 |
| 14 | GÉRARD Arnaud | 70 |
| 15 | VILELA Ricardo | 59 |
| 16 | BOULO Matthieu | 62 |
| 17 | DURET Sébastien | 62 |