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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAS Lluís | 69 |
| 2 | SUAZA Bernardo | 66 |
| 3 | SÁEZ Héctor | 75 |
| 4 | THALMANN Roland | 61 |
| 5 | PACIONI Luca | 67 |
| 6 | LANG Pirmin | 73 |
| 7 | LAAS Martin | 76 |
| 8 | LEVASSEUR Jordan | 74 |
| 9 | VAN DER POEL Mathieu | 75 |
| 10 | VAN DER POEL David | 75 |
| 11 | GOUAULT Pierre | 61 |
| 12 | DENZ Nico | 71 |
| 13 | ROHDE Leon | 75 |
| 14 | BAGDONAS Gediminas | 78 |
| 15 | SIERRA Yecid Arturo | 66 |
| 16 | WALSLEBEN Philipp | 66 |
| 18 | OIEN Justin | 68 |
| 19 | CORNU Jérémy | 66 |