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 + 28
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE GENDT Thomas | 73 |
| 2 | MAS Lluís | 69 |
| 3 | BIZKARRA Mikel | 53 |
| 4 | LATOUR Pierre | 66 |
| 5 | VERONA Carlos | 68 |
| 6 | TORRES Pablo | 63.5 |
| 7 | PAREDES Wilmar | 66 |
| 9 | MARTIN Dan | 59 |
| 10 | SOLER Marc | 68 |
| 11 | PINOT Thibaut | 63 |
| 12 | ROJAS José Joaquín | 70 |
| 13 | CHEVRIER Clément | 56 |
| 14 | MOLINA Antonio | 57 |
| 15 | VALVERDE Alejandro | 61 |