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 + 100
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
Karstens
1
74 kgSwerts
4
75 kgLasa
5
68 kgElorriaga
8
85 kgOvion
10
64 kgDíaz
18
72 kgTamames
32
66 kgBourreau
45
63 kg
1
74 kgSwerts
4
75 kgLasa
5
68 kgElorriaga
8
85 kgOvion
10
64 kgDíaz
18
72 kgTamames
32
66 kgBourreau
45
63 kg
Weight (KG) →
Result →
85
63
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KARSTENS Gerben | 74 |
| 4 | SWERTS Roger | 75 |
| 5 | LASA Miguel María | 68 |
| 8 | ELORRIAGA Javier Francisco | 85 |
| 10 | OVION Régis | 64 |
| 18 | DÍAZ Ventura | 72 |
| 32 | TAMAMES Agustín | 66 |
| 45 | BOURREAU Bernard | 63 |