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 = -0.3 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Tamames
1
66 kgOvion
2
64 kgElorriaga
7
85 kgSwerts
8
75 kgDíaz
14
72 kgLasa
21
68 kgKarstens
33
74 kgBourreau
35
63 kg
1
66 kgOvion
2
64 kgElorriaga
7
85 kgSwerts
8
75 kgDíaz
14
72 kgLasa
21
68 kgKarstens
33
74 kgBourreau
35
63 kg
Weight (KG) →
Result →
85
63
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMAMES Agustín | 66 |
| 2 | OVION Régis | 64 |
| 7 | ELORRIAGA Javier Francisco | 85 |
| 8 | SWERTS Roger | 75 |
| 14 | DÍAZ Ventura | 72 |
| 21 | LASA Miguel María | 68 |
| 33 | KARSTENS Gerben | 74 |
| 35 | BOURREAU Bernard | 63 |