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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Zabel
1
69 kgHoffman
2
80 kgMcEwen
3
67 kgVierhouten
4
71 kgTolhoek
6
63 kgVerheyen
8
68 kgAuger
9
78 kgBouyer
10
65 kg
1
69 kgHoffman
2
80 kgMcEwen
3
67 kgVierhouten
4
71 kgTolhoek
6
63 kgVerheyen
8
68 kgAuger
9
78 kgBouyer
10
65 kg
Weight (KG) →
Result →
80
63
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZABEL Erik | 69 |
| 2 | HOFFMAN Tristan | 80 |
| 3 | MCEWEN Robbie | 67 |
| 4 | VIERHOUTEN Aart | 71 |
| 6 | TOLHOEK Patrick | 63 |
| 8 | VERHEYEN Geert | 68 |
| 9 | AUGER Ludovic | 78 |
| 10 | BOUYER Franck | 65 |