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 + 18
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Amezqueta
1
63 kgCarvalho
2
60 kgBudyak
4
53 kgTrueba
6
65 kgMartingil
9
67 kgLastra
10
64 kgEtxeberria
11
61 kgIrisarri
13
66 kgSamolenkov
15
71 kgUcha
18
75 kgRibeiro
20
63 kgGonçalves
21
64 kgAranburu
25
63 kgOliveira
26
63 kgNeves
27
61 kgGonçalves
30
53 kgFerreira
33
64 kg
1
63 kgCarvalho
2
60 kgBudyak
4
53 kgTrueba
6
65 kgMartingil
9
67 kgLastra
10
64 kgEtxeberria
11
61 kgIrisarri
13
66 kgSamolenkov
15
71 kgUcha
18
75 kgRibeiro
20
63 kgGonçalves
21
64 kgAranburu
25
63 kgOliveira
26
63 kgNeves
27
61 kgGonçalves
30
53 kgFerreira
33
64 kg
Weight (KG) →
Result →
75
53
1
33
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AMEZQUETA Julen | 63 |
| 2 | CARVALHO Rui | 60 |
| 4 | BUDYAK Anatoliy | 53 |
| 6 | TRUEBA Alvaro | 65 |
| 9 | MARTINGIL César | 67 |
| 10 | LASTRA Jonathan | 64 |
| 11 | ETXEBERRIA Víctor | 61 |
| 13 | IRISARRI Jon | 66 |
| 15 | SAMOLENKOV Artem | 71 |
| 18 | UCHA Jacobo | 75 |
| 20 | RIBEIRO David | 63 |
| 21 | GONÇALVES Gaspar | 64 |
| 25 | ARANBURU Alex | 63 |
| 26 | OLIVEIRA Fábio | 63 |
| 27 | NEVES José | 61 |
| 30 | GONÇALVES Júlio | 53 |
| 33 | FERREIRA José | 64 |