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 = 0.6 * weight - 34
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Kaisen
1
82 kgVan den Broeck
2
69 kgStubbe
5
66 kgVanheule
10
76 kgHovelijnck
15
75 kgSchmets
22
85 kgCappelle
23
76 kg
1
82 kgVan den Broeck
2
69 kgStubbe
5
66 kgVanheule
10
76 kgHovelijnck
15
75 kgSchmets
22
85 kgCappelle
23
76 kg
Weight (KG) →
Result →
85
66
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAISEN Olivier | 82 |
| 2 | VAN DEN BROECK Jurgen | 69 |
| 5 | STUBBE Tom | 66 |
| 10 | VANHEULE Bart | 76 |
| 15 | HOVELIJNCK Kurt | 75 |
| 22 | SCHMETS David | 85 |
| 23 | CAPPELLE Dieter | 76 |