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 + 41
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEGAERT Alec | 79 |
| 2 | WÆRENSKJOLD Søren | 92 |
| 6 | RAFFERTY Darren | 65 |
| 7 | VERVENNE Jonathan | 72 |
| 8 | LE HUITOUZE Eddy | 71 |
| 10 | GIERYK Kacper | 71 |
| 11 | HUYS Branko | 77 |
| 12 | PALENI Enzo | 65 |
| 13 | BORRESCH Julian | 79 |
| 14 | MALMBERG Matias | 68 |
| 16 | BAILEY Charles | 72 |
| 17 | KABAS Maximilian | 60 |
| 19 | ROUSSET-FAVIER Nicolas | 57 |
| 20 | THEILER Ole | 75 |
| 21 | HARTEEL Jelle | 66 |