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 = 0.3 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ŠTIMULAK Klemen | 64 |
| 2 | BONGIORNO Francesco Manuel | 56 |
| 3 | MACHADO Tiago | 63 |
| 4 | ZAKARIN Ilnur | 67 |
| 5 | CHALAPUD Robinson | 63 |
| 6 | MALAGUTI Alessandro | 67 |
| 7 | BRUTT Pavel | 70 |
| 9 | SELLA Emanuele | 54 |
| 10 | ROGLIČ Primož | 65 |
| 11 | YATES Simon | 58 |
| 12 | KOCHETKOV Pavel | 70 |
| 13 | CARUSO Damiano | 67 |
| 14 | FIRSANOV Sergey | 58 |
| 15 | PARRINELLO Antonino | 68 |
| 16 | FEDI Andrea | 70 |
| 17 | JACOBS Pieter | 68 |