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 - 77
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Raas
2
72 kgDe Wilde
5
70 kgHoste
6
76 kgRoche
12
74 kgDe Wolf
15
75 kg
2
72 kgDe Wilde
5
70 kgHoste
6
76 kgRoche
12
74 kgDe Wolf
15
75 kg
Weight (KG) →
Result →
76
70
2
15
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RAAS Jan | 72 |
| 5 | DE WILDE Etienne | 70 |
| 6 | HOSTE Frank | 76 |
| 12 | ROCHE Stephen | 74 |
| 15 | DE WOLF Fons | 75 |