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 + 25
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GROßSCHARTNER Felix | 64 |
| 2 | ALMEIDA João | 63 |
| 3 | VALVERDE Alejandro | 61 |
| 4 | ARANBURU Alex | 63 |
| 5 | LANDA Mikel | 61 |
| 6 | GAUDU David | 53 |
| 7 | ABERASTURI Jon | 69 |
| 8 | MCCARTHY Jay | 63 |
| 9 | TRENTIN Matteo | 74 |
| 10 | EVENEPOEL Remco | 61 |
| 11 | CHAVES Esteban | 55 |
| 12 | DUNBAR Eddie | 57 |
| 13 | BENNETT George | 58 |
| 14 | CARAPAZ Richard | 62 |
| 15 | SOSA Iván Ramiro | 52 |