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 = -0.4 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | BOUHANNI Nacer | 65 |
| 6 | VAN DER SANDE Tosh | 67 |
| 12 | DELAPLACE Anthony | 65 |
| 13 | IMHOF Claudio | 80 |
| 17 | DILLIER Silvan | 75 |
| 18 | AREGGER Marcel | 70 |
| 27 | SCHELLING Patrick | 61 |
| 28 | THIÈRY Cyrille | 67 |
| 30 | CAMBIANICA Enea | 64 |
| 31 | EIJSSEN Yannick | 60 |
| 33 | WARBASSE Larry | 67 |
| 49 | LE BON Johan | 70 |