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 = -0.7 * weight + 57
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
van der Poel
1
70 kgWampers
2
82 kgFignon
3
67 kgMadiot
11
68 kgGayant
13
69 kgWinnen
18
60 kgKuiper
22
69 kg
1
70 kgWampers
2
82 kgFignon
3
67 kgMadiot
11
68 kgGayant
13
69 kgWinnen
18
60 kgKuiper
22
69 kg
Weight (KG) →
Result →
82
60
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER POEL Adrie | 70 |
| 2 | WAMPERS Jean-Marie | 82 |
| 3 | FIGNON Laurent | 67 |
| 11 | MADIOT Marc | 68 |
| 13 | GAYANT Martial | 69 |
| 18 | WINNEN Peter | 60 |
| 22 | KUIPER Hennie | 69 |