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 + 42
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ROONI Ron | 72 |
| 7 | DIJKMAN Daan | 55 |
| 10 | VASSAL Théophile | 65 |
| 12 | HEWES Alex | 69 |
| 19 | MARTINET Valentin | 66 |
| 24 | KLEIBRANT Wilmer | 61 |
| 51 | JACKOWIAK Jan Michal | 65 |
| 54 | BENNETZEN Lucca | 72 |
| 56 | ROSATO Giacomo | 57 |
| 63 | TAMMEPUU Riko | 68 |
| 92 | PATRAS Jakub | 69 |
| 95 | JAKOBSONS Marks | 68 |
| 115 | KŐRÖSI Gábor | 65 |
| 129 | HERNANDEZ Jan | 54 |
| 134 | FITZGERALD Max | 73 |