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 = -2.5 * weight + 208
This means that on average for every extra kilogram weight a rider loses -2.5 positions in the result.
Demeyer
1
85 kgHoste
7
76 kgVan Looy
19
75 kgDe Vlaeminck
23
74 kgRaas
40
72 kg
1
85 kgHoste
7
76 kgVan Looy
19
75 kgDe Vlaeminck
23
74 kgRaas
40
72 kg
Weight (KG) →
Result →
85
72
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEMEYER Marc | 85 |
| 7 | HOSTE Frank | 76 |
| 19 | VAN LOOY Frans | 75 |
| 23 | DE VLAEMINCK Roger | 74 |
| 40 | RAAS Jan | 72 |