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 = -0.3 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BAUMANN Eric | 72 |
| 5 | TALABARDON Yannick | 67 |
| 11 | MEDINA Jose Alfredo | 65 |
| 13 | KAGGESTAD Mads | 66 |
| 14 | WEENING Pieter | 68 |
| 18 | ELIJZEN Michiel | 80 |
| 20 | GREIPEL André | 80 |
| 22 | HELMINEN Matti | 74 |
| 23 | COUTOULY Cédric | 72 |
| 24 | WITECKI Mariusz | 70 |
| 30 | CALZATI Sylvain | 68 |
| 42 | DUBAU Ludovic | 62 |