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 + 108
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Swerts
2
75 kgTamames
3
66 kgLasa
7
68 kgRosiers
10
78 kgKuiper
15
69 kgDíaz
20
72 kgAllan
50
73 kgDe Brauwere
53
63 kg
2
75 kgTamames
3
66 kgLasa
7
68 kgRosiers
10
78 kgKuiper
15
69 kgDíaz
20
72 kgAllan
50
73 kgDe Brauwere
53
63 kg
Weight (KG) →
Result →
78
63
2
53
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SWERTS Roger | 75 |
| 3 | TAMAMES Agustín | 66 |
| 7 | LASA Miguel María | 68 |
| 10 | ROSIERS Roger | 78 |
| 15 | KUIPER Hennie | 69 |
| 20 | DÍAZ Ventura | 72 |
| 50 | ALLAN Donald | 73 |
| 53 | DE BRAUWERE Lucien | 63 |