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 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Tamames
1
66 kgLasa
2
68 kgElorriaga
9
85 kgDíaz
11
72 kgOvion
17
64 kgSwerts
29
75 kgBourreau
33
63 kgKarstens
45
74 kg
1
66 kgLasa
2
68 kgElorriaga
9
85 kgDíaz
11
72 kgOvion
17
64 kgSwerts
29
75 kgBourreau
33
63 kgKarstens
45
74 kg
Weight (KG) →
Result →
85
63
1
45
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAMAMES Agustín | 66 |
| 2 | LASA Miguel María | 68 |
| 9 | ELORRIAGA Javier Francisco | 85 |
| 11 | DÍAZ Ventura | 72 |
| 17 | OVION Régis | 64 |
| 29 | SWERTS Roger | 75 |
| 33 | BOURREAU Bernard | 63 |
| 45 | KARSTENS Gerben | 74 |