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 - 12
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONTADOR Alberto | 61 |
| 2 | MOSQUERA Ezequiel | 65 |
| 3 | HERRERO David | 61 |
| 4 | CUNEGO Damiano | 58 |
| 5 | RICCÒ Riccardo | 57 |
| 6 | REBELLIN Davide | 63 |
| 7 | VELITS Peter | 63 |
| 8 | MONFORT Maxime | 66 |
| 9 | RODRÍGUEZ Joaquim | 58 |
| 10 | TROFIMOV Yuri | 59 |
| 11 | TSCHOPP Johann | 62 |
| 12 | ASTARLOZA Mikel | 72 |
| 13 | ARDILA Mauricio Alberto | 58 |
| 14 | DE LA FUENTE David | 67 |
| 15 | EVANS Cadel | 64 |