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 = -1 * weight + 73
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Breukink
1
70 kgFignon
2
67 kgBugno
6
68 kgKuiper
10
69 kgMadiot
14
68 kgWinnen
15
60 kg
1
70 kgFignon
2
67 kgBugno
6
68 kgKuiper
10
69 kgMadiot
14
68 kgWinnen
15
60 kg
Weight (KG) →
Result →
70
60
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BREUKINK Erik | 70 |
| 2 | FIGNON Laurent | 67 |
| 6 | BUGNO Gianni | 68 |
| 10 | KUIPER Hennie | 69 |
| 14 | MADIOT Marc | 68 |
| 15 | WINNEN Peter | 60 |