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 = 1.2 * weight - 44
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SIUTSOU Kanstantsin | 68 |
| 4 | SAMOILAU Branislau | 77 |
| 5 | ANTÓN Igor | 64 |
| 18 | DUGGAN Timothy | 60 |
| 24 | LOSADA Alberto | 69 |
| 27 | PÉREZ Rubén | 65 |
| 30 | MATÉ Luis Ángel | 68 |
| 31 | ERMETI Giairo | 60 |
| 32 | VORGANOV Eduard | 65 |
| 35 | RAABE Henry | 71 |
| 36 | SOKOLOV Evgeny | 70 |
| 39 | ORTEGA Manuel | 68 |
| 49 | URIBARRI Unai | 62 |
| 67 | FARRAR Tyler | 73 |
| 70 | CHACÓN Javier | 70 |
| 71 | WAGNER Robert | 75 |