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 = -0.5 * weight + 89
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | MUJIKA Jokin | 73 |
| 12 | WELTZ Johnny | 65 |
| 20 | ALONSO Marino | 70 |
| 23 | DE VRIES Gerrit | 75 |
| 24 | CORDES Tom | 70 |
| 56 | VANDERAERDEN Eric | 74 |
| 60 | VILAMAJO Jaime | 70 |
| 67 | BALBOA Antonio | 66 |
| 72 | ARNTZ Marcel | 70 |
| 91 | RIPOLL José Andrés | 66 |
| 94 | HARMELING Rob | 76 |
| 99 | CHEVALLIER Philippe | 69 |