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 = -0.5 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CENTRONE Ivan | 64 |
| 2 | ZANGERLE Emanuel | 68 |
| 3 | THEILER Ole | 75 |
| 4 | LAURYSSEN Yorben | 67 |
| 5 | STÜSSI Colin | 68 |
| 6 | SCOTT Robert | 73 |
| 7 | WENZEL Mats | 68 |
| 10 | RONHAAR Pim | 60 |
| 11 | BREGNHØJ Mathias | 63 |
| 12 | PRIMOŽIČ Jaka | 60 |
| 13 | VERZA Riccardo | 69 |
| 14 | HUBY Antoine | 56 |
| 15 | BALLABIO Giacomo | 70 |
| 16 | BERLIN Antoine | 57 |
| 17 | GODFROID Olivier | 66 |