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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EL FARES Julien | 62 |
| 2 | DI GRÉGORIO Rémy | 67 |
| 4 | ZEITS Andrey | 73 |
| 6 | MEYER Travis | 68 |
| 7 | WILCHES Juan Pablo | 56 |
| 9 | CONTI Valerio | 61 |
| 11 | MANCEBO Francisco | 64 |
| 12 | BUSCHE Matthew | 69 |
| 13 | BERNARD Julien | 60 |
| 14 | GAVAZZI Francesco | 65 |
| 15 | VASYLYUK Andriy | 65 |
| 16 | FOMINYKH Daniil | 70 |
| 17 | KOZHATAYEV Bakhtiyar | 62 |
| 18 | NEILANDS Krists | 69 |
| 19 | OWSIAN Łukasz | 66 |