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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Kaisen
1
82 kgVan den Broeck
5
69 kgDe Poortere
7
70 kgCappelle
11
76 kgSchmets
12
85 kgSuray
20
67 kgGrosdent
22
74 kg
1
82 kgVan den Broeck
5
69 kgDe Poortere
7
70 kgCappelle
11
76 kgSchmets
12
85 kgSuray
20
67 kgGrosdent
22
74 kg
Weight (KG) →
Result →
85
67
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAISEN Olivier | 82 |
| 5 | VAN DEN BROECK Jurgen | 69 |
| 7 | DE POORTERE Ingmar | 70 |
| 11 | CAPPELLE Dieter | 76 |
| 12 | SCHMETS David | 85 |
| 20 | SURAY Gil | 67 |
| 22 | GROSDENT William | 74 |