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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LOBATO Rubén | 64 |
| 4 | CALVENTE Manuel | 55 |
| 10 | DE GROOTE Thierry | 71 |
| 11 | RIBEIRO Nuno | 59 |
| 12 | BRUTT Pavel | 70 |
| 19 | VALVERDE Alejandro | 61 |
| 20 | DE LA FUENTE David | 67 |
| 24 | BELOKI Gorka | 66 |
| 26 | KLIMOV Sergey | 69 |