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 = 2.8 * weight - 134
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Atapuma
2
59 kgHenao
4
61 kgSevilla
5
62 kgPedraza
6
58 kgGuamá
7
61 kgPantano
8
61 kgCárdenas
9
59 kgWilches
17
56 kgSoliz
20
58 kgRomero
24
55 kgTorres
32
56 kgChalapud
42
63 kgPeña
44
65 kgParedes
49
63 kgChaparro
53
54 kgAcevedo
55
63 kgPérez
63
68 kgSuarez
76
67 kgVillegas
82
73 kgGonzález
83
55 kgGutiérrez
84
78 kgSandoval
109
64 kg
2
59 kgHenao
4
61 kgSevilla
5
62 kgPedraza
6
58 kgGuamá
7
61 kgPantano
8
61 kgCárdenas
9
59 kgWilches
17
56 kgSoliz
20
58 kgRomero
24
55 kgTorres
32
56 kgChalapud
42
63 kgPeña
44
65 kgParedes
49
63 kgChaparro
53
54 kgAcevedo
55
63 kgPérez
63
68 kgSuarez
76
67 kgVillegas
82
73 kgGonzález
83
55 kgGutiérrez
84
78 kgSandoval
109
64 kg
Weight (KG) →
Result →
78
54
2
109
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ATAPUMA Darwin | 59 |
| 4 | HENAO Sergio | 61 |
| 5 | SEVILLA Óscar | 62 |
| 6 | PEDRAZA Wálter Fernando | 58 |
| 7 | GUAMÁ Byron | 61 |
| 8 | PANTANO Jarlinson | 61 |
| 9 | CÁRDENAS Félix Rafael | 59 |
| 17 | WILCHES Juan Pablo | 56 |
| 20 | SOLIZ Óscar | 58 |
| 24 | ROMERO Jeffry | 55 |
| 32 | TORRES Rodolfo Andrés | 56 |
| 42 | CHALAPUD Robinson | 63 |
| 44 | PEÑA Victor Hugo | 65 |
| 49 | PAREDES Jonathan | 63 |
| 53 | CHAPARRO Didier | 54 |
| 55 | ACEVEDO Janier | 63 |
| 63 | PÉREZ Marlon Alirio | 68 |
| 76 | SUAREZ Camilo Andres | 67 |
| 82 | VILLEGAS Juan Pablo | 73 |
| 83 | GONZÁLEZ Freddy Excelino | 55 |
| 84 | GUTIÉRREZ José Enrique | 78 |
| 109 | SANDOVAL Edwin Alexander | 64 |