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 = 0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Sevilla
1
62 kgCárdenas
2
59 kgGuamá
5
61 kgHenao
6
61 kgPantano
7
61 kgChalapud
8
63 kgPedraza
10
58 kgPérez
11
68 kgPeña
13
65 kgTorres
15
56 kgAtapuma
17
59 kgRomero
18
55 kgAcevedo
26
63 kgSuarez
29
67 kgGutiérrez
30
78 kgWilches
34
56 kgChaparro
45
54 kgVillegas
50
73 kgSoliz
51
58 kgParedes
60
63 kgGonzález
73
55 kgSandoval
116
64 kg
1
62 kgCárdenas
2
59 kgGuamá
5
61 kgHenao
6
61 kgPantano
7
61 kgChalapud
8
63 kgPedraza
10
58 kgPérez
11
68 kgPeña
13
65 kgTorres
15
56 kgAtapuma
17
59 kgRomero
18
55 kgAcevedo
26
63 kgSuarez
29
67 kgGutiérrez
30
78 kgWilches
34
56 kgChaparro
45
54 kgVillegas
50
73 kgSoliz
51
58 kgParedes
60
63 kgGonzález
73
55 kgSandoval
116
64 kg
Weight (KG) →
Result →
78
54
1
116
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | CÁRDENAS Félix Rafael | 59 |
| 5 | GUAMÁ Byron | 61 |
| 6 | HENAO Sergio | 61 |
| 7 | PANTANO Jarlinson | 61 |
| 8 | CHALAPUD Robinson | 63 |
| 10 | PEDRAZA Wálter Fernando | 58 |
| 11 | PÉREZ Marlon Alirio | 68 |
| 13 | PEÑA Victor Hugo | 65 |
| 15 | TORRES Rodolfo Andrés | 56 |
| 17 | ATAPUMA Darwin | 59 |
| 18 | ROMERO Jeffry | 55 |
| 26 | ACEVEDO Janier | 63 |
| 29 | SUAREZ Camilo Andres | 67 |
| 30 | GUTIÉRREZ José Enrique | 78 |
| 34 | WILCHES Juan Pablo | 56 |
| 45 | CHAPARRO Didier | 54 |
| 50 | VILLEGAS Juan Pablo | 73 |
| 51 | SOLIZ Óscar | 58 |
| 60 | PAREDES Jonathan | 63 |
| 73 | GONZÁLEZ Freddy Excelino | 55 |
| 116 | SANDOVAL Edwin Alexander | 64 |