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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AUS Lauri | 75 |
| 2 | VERHEYEN Geert | 68 |
| 3 | GUESDON Frédéric | 73 |
| 5 | HOFFMAN Tristan | 80 |
| 6 | SUNDERLAND Scott | 65 |
| 7 | VASSEUR Cédric | 70 |
| 8 | DE JONGH Steven | 76 |
| 9 | VAN PETEGEM Peter | 70 |
| 11 | KIRSIPUU Jaan | 80 |
| 12 | MICHAELSEN Lars | 79 |
| 13 | PIZIKS Arvis | 70 |
| 14 | AERTS Mario | 68 |
| 16 | DE CLERCQ Hans | 80 |
| 17 | HUSER Rolf | 65 |
| 18 | BRUYLANDTS Dave | 63 |
| 20 | TCHMIL Andrei | 75 |