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 = -1.2 * weight + 98
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Kelly
1
77 kgWampers
4
82 kgDuclos-Lassalle
6
73 kgRoche
10
74 kgDe Wilde
15
70 kgBittinger
18
69 kgJourdan
22
64 kg
1
77 kgWampers
4
82 kgDuclos-Lassalle
6
73 kgRoche
10
74 kgDe Wilde
15
70 kgBittinger
18
69 kgJourdan
22
64 kg
Weight (KG) →
Result →
82
64
1
22
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 4 | WAMPERS Jean-Marie | 82 |
| 6 | DUCLOS-LASSALLE Gilbert | 73 |
| 10 | ROCHE Stephen | 74 |
| 15 | DE WILDE Etienne | 70 |
| 18 | BITTINGER René | 69 |
| 22 | JOURDAN Christian | 64 |