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 = -4.7 * weight + 363
This means that on average for every extra kilogram weight a rider loses -4.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | FITZGERALD Max | 73 |
| 7 | HEWES Alex | 69 |
| 9 | ROONI Ron | 72 |
| 15 | BENNETZEN Lucca | 72 |
| 26 | TAMMEPUU Riko | 68 |
| 41 | VASSAL Théophile | 65 |
| 53 | KLEIBRANT Wilmer | 61 |
| 60 | JAKOBSONS Marks | 68 |
| 66 | PATRAS Jakub | 69 |
| 77 | KŐRÖSI Gábor | 65 |
| 86 | DIJKMAN Daan | 55 |
| 93 | ROSATO Giacomo | 57 |
| 97 | MARTINET Valentin | 66 |
| 116 | JACKOWIAK Jan Michal | 65 |