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 = 0.8 * weight - 32
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Tamames
1
66 kgLasa
3
68 kgKuiper
5
69 kgDíaz
19
72 kgSwerts
29
75 kgRosiers
31
78 kgDe Brauwere
49
63 kgAllan
52
73 kg
1
66 kgLasa
3
68 kgKuiper
5
69 kgDíaz
19
72 kgSwerts
29
75 kgRosiers
31
78 kgDe Brauwere
49
63 kgAllan
52
73 kg
Weight (KG) →
Result →
78
63
1
52
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMAMES Agustín | 66 |
| 3 | LASA Miguel María | 68 |
| 5 | KUIPER Hennie | 69 |
| 19 | DÍAZ Ventura | 72 |
| 29 | SWERTS Roger | 75 |
| 31 | ROSIERS Roger | 78 |
| 49 | DE BRAUWERE Lucien | 63 |
| 52 | ALLAN Donald | 73 |