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 - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PAUMIER Laurent | 57 |
| 4 | KAGGESTAD Mads | 66 |
| 5 | ROGINA Radoslav | 70 |
| 7 | PINEAU Jérôme | 65 |
| 8 | KRISTENSEN Lennie | 70 |
| 11 | MAHORIČ Mitja | 68 |
| 12 | GESLIN Anthony | 68 |
| 13 | LEQUATRE Geoffroy | 64 |
| 27 | CHEULA Giampaolo | 62 |
| 28 | TALABARDON Yannick | 67 |
| 29 | MAINGUENAUD Frédéric | 68 |
| 47 | COENEN Johan | 67 |