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 = -1.5 * weight + 127
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Swerts
3
75 kgKuiper
4
69 kgLasa
10
68 kgAllan
15
73 kgTamames
20
66 kgRosiers
21
78 kgDíaz
42
72 kgDe Brauwere
54
63 kg
3
75 kgKuiper
4
69 kgLasa
10
68 kgAllan
15
73 kgTamames
20
66 kgRosiers
21
78 kgDíaz
42
72 kgDe Brauwere
54
63 kg
Weight (KG) →
Result →
78
63
3
54
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SWERTS Roger | 75 |
| 4 | KUIPER Hennie | 69 |
| 10 | LASA Miguel María | 68 |
| 15 | ALLAN Donald | 73 |
| 20 | TAMAMES Agustín | 66 |
| 21 | ROSIERS Roger | 78 |
| 42 | DÍAZ Ventura | 72 |
| 54 | DE BRAUWERE Lucien | 63 |