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 = -0.1 * weight + 25
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Swerts
3
75 kgLasa
5
68 kgTamames
6
66 kgDíaz
11
72 kgOvion
16
64 kgElorriaga
18
85 kgBourreau
40
63 kgKarstens
50
74 kg
3
75 kgLasa
5
68 kgTamames
6
66 kgDíaz
11
72 kgOvion
16
64 kgElorriaga
18
85 kgBourreau
40
63 kgKarstens
50
74 kg
Weight (KG) →
Result →
85
63
3
50
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SWERTS Roger | 75 |
| 5 | LASA Miguel María | 68 |
| 6 | TAMAMES Agustín | 66 |
| 11 | DÍAZ Ventura | 72 |
| 16 | OVION Régis | 64 |
| 18 | ELORRIAGA Javier Francisco | 85 |
| 40 | BOURREAU Bernard | 63 |
| 50 | KARSTENS Gerben | 74 |