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 = -0.2 * weight + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VANDERAERDEN Eric | 74 |
| 3 | WELTZ Johnny | 65 |
| 4 | ELLIOTT Malcolm | 76 |
| 4 | ALONSO Marino | 70 |
| 5 | CORDES Tom | 70 |
| 5 | DE VRIES Gerrit | 75 |
| 6 | VILAMAJO Jaime | 70 |
| 6 | BALBOA Antonio | 66 |
| 8 | ARNTZ Marcel | 70 |
| 8 | MUJIKA Jokin | 73 |
| 12 | RIPOLL José Andrés | 66 |