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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Wampers
3
82 kgWinnen
8
60 kgvan der Poel
9
70 kgDe Wilde
10
70 kgDe Wolf
17
75 kgRiis
18
71 kgBruyneel
25
71 kg
3
82 kgWinnen
8
60 kgvan der Poel
9
70 kgDe Wilde
10
70 kgDe Wolf
17
75 kgRiis
18
71 kgBruyneel
25
71 kg
Weight (KG) →
Result →
82
60
3
25
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WAMPERS Jean-Marie | 82 |
| 8 | WINNEN Peter | 60 |
| 9 | VAN DER POEL Adrie | 70 |
| 10 | DE WILDE Etienne | 70 |
| 17 | DE WOLF Fons | 75 |
| 18 | RIIS Bjarne | 71 |
| 25 | BRUYNEEL Johan | 71 |