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 + 20
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LE BON Johan | 70 |
| 6 | DELAPLACE Anthony | 65 |
| 7 | EIJSSEN Yannick | 60 |
| 10 | VAN DER SANDE Tosh | 67 |
| 16 | THIÈRY Cyrille | 67 |
| 23 | IMHOF Claudio | 80 |
| 29 | GAWROŃSKI Piotr | 73 |
| 30 | BOUHANNI Nacer | 65 |
| 35 | WARBASSE Larry | 67 |
| 40 | AREGGER Marcel | 70 |
| 70 | SCHELLING Patrick | 61 |
| 78 | CAMBIANICA Enea | 64 |
| 85 | DILLIER Silvan | 75 |