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 = -0.1 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PHILIPSEN Jasper | 75 |
| 2 | HIRSCHI Marc | 61 |
| 3 | EEKHOFF Nils | 75 |
| 4 | TURGIS Tanguy | 61 |
| 5 | REYNDERS Jens | 76 |
| 6 | APERS Ruben | 70 |
| 7 | VAN DEN BERG Lars | 72 |
| 8 | VAN DER HORST Dennis | 62 |
| 10 | WEEMAES Sasha | 73 |
| 11 | SCHELLING Ide | 66 |
| 12 | CHARMIG Anthon | 66 |