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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SÜTTERLIN Jasha | 78 |
| 3 | ŠIŠKEVIČIUS Evaldas | 80 |
| 4 | BLAIN Alexandre | 82 |
| 5 | MARTIN Tony | 75 |
| 7 | LAPORTE Christophe | 76 |
| 8 | CASTELIJNS Twan | 70 |
| 9 | PACHER Quentin | 62 |
| 10 | KUDUS Merhawi | 58 |
| 11 | TURGIS Anthony | 70 |
| 12 | MARTENS Paul | 69 |
| 13 | TULIK Angélo | 64 |
| 14 | VICHOT Arthur | 74 |
| 15 | DE WINTER Ludwig | 83 |