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 = -0.7 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CODOL Massimo | 67 |
| 3 | SERPELLINI Marco | 75 |
| 4 | KLEYNEN Steven | 72 |
| 8 | CIGANA Massimo | 74 |
| 9 | FARAZIJN Peter | 69 |
| 12 | TCHMIL Andrei | 75 |
| 13 | VAN DE WOUWER Kurt | 66 |
| 14 | DE WAELE Fabien | 62 |
| 18 | DETILLOUX Christophe | 62 |
| 23 | PINOTTI Marco | 67 |
| 24 | PLANCKAERT Jo | 70 |
| 25 | ESTADIEU Laurent | 67 |
| 26 | MIFUNE Masahiko | 70 |