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 + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRISTOFF Alexander | 78 |
| 2 | SBARAGLI Kristian | 74 |
| 3 | COLBRELLI Sonny | 74 |
| 4 | NORMAN LETH Lasse | 75 |
| 5 | DE GENDT Aimé | 75 |
| 6 | HAEDO Lucas Sebastián | 64 |
| 7 | MARECZKO Jakub | 67 |
| 8 | FONZI Giuseppe | 63 |
| 9 | JANS Roy | 68 |
| 10 | GIRAUD Benjamin | 71 |
| 11 | MODOLO Sacha | 67 |
| 12 | WARBASSE Larry | 67 |
| 13 | MARANGONI Alan | 74 |
| 14 | BELLETTI Manuel | 72 |