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 = 0.6 * weight - 31
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Garofoli
3
62 kgVauquelin
6
69 kgGarcía Pierna
7
67 kgMengel
9
65 kgRodríguez
10
67 kgHessmann
13
78 kgOelke
15
78 kg
3
62 kgVauquelin
6
69 kgGarcía Pierna
7
67 kgMengel
9
65 kgRodríguez
10
67 kgHessmann
13
78 kgOelke
15
78 kg
Weight (KG) →
Result →
78
62
3
15
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GAROFOLI Gianmarco | 62 |
| 6 | VAUQUELIN Kévin | 69 |
| 7 | GARCÍA PIERNA Raúl | 67 |
| 9 | MENGEL Nikolaj | 65 |
| 10 | RODRÍGUEZ Carlos | 67 |
| 13 | HESSMANN Michel | 78 |
| 15 | OELKE Tim | 78 |