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 = -1.1 * weight + 90
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
Hoste
1
76 kgSergeant
3
76 kgRoche
5
74 kgvan den Hoek
8
77 kgDuclos-Lassalle
10
73 kgDe Wolf
15
75 kg
1
76 kgSergeant
3
76 kgRoche
5
74 kgvan den Hoek
8
77 kgDuclos-Lassalle
10
73 kgDe Wolf
15
75 kg
Weight (KG) →
Result →
77
73
1
15
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOSTE Frank | 76 |
| 3 | SERGEANT Marc | 76 |
| 5 | ROCHE Stephen | 74 |
| 8 | VAN DEN HOEK Aad | 77 |
| 10 | DUCLOS-LASSALLE Gilbert | 73 |
| 15 | DE WOLF Fons | 75 |