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 * weight + 103
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
Cárdenas
4
59 kgWilches
5
56 kgSevilla
9
62 kgHenao
13
61 kgGutiérrez
14
78 kgAcevedo
17
63 kgAtapuma
18
59 kgSoliz
20
58 kgPedraza
21
58 kgVillegas
22
73 kgGuamá
25
61 kgPérez
30
68 kgSuarez
40
67 kgTorres
43
56 kgPantano
47
61 kgRomero
50
55 kgParedes
75
63 kgPeña
80
65 kgChaparro
92
54 kgChalapud
98
63 kgSandoval
102
64 kgGonzález
104
55 kg
4
59 kgWilches
5
56 kgSevilla
9
62 kgHenao
13
61 kgGutiérrez
14
78 kgAcevedo
17
63 kgAtapuma
18
59 kgSoliz
20
58 kgPedraza
21
58 kgVillegas
22
73 kgGuamá
25
61 kgPérez
30
68 kgSuarez
40
67 kgTorres
43
56 kgPantano
47
61 kgRomero
50
55 kgParedes
75
63 kgPeña
80
65 kgChaparro
92
54 kgChalapud
98
63 kgSandoval
102
64 kgGonzález
104
55 kg
Weight (KG) →
Result →
78
54
4
104
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | CÁRDENAS Félix Rafael | 59 |
| 5 | WILCHES Juan Pablo | 56 |
| 9 | SEVILLA Óscar | 62 |
| 13 | HENAO Sergio | 61 |
| 14 | GUTIÉRREZ José Enrique | 78 |
| 17 | ACEVEDO Janier | 63 |
| 18 | ATAPUMA Darwin | 59 |
| 20 | SOLIZ Óscar | 58 |
| 21 | PEDRAZA Wálter Fernando | 58 |
| 22 | VILLEGAS Juan Pablo | 73 |
| 25 | GUAMÁ Byron | 61 |
| 30 | PÉREZ Marlon Alirio | 68 |
| 40 | SUAREZ Camilo Andres | 67 |
| 43 | TORRES Rodolfo Andrés | 56 |
| 47 | PANTANO Jarlinson | 61 |
| 50 | ROMERO Jeffry | 55 |
| 75 | PAREDES Jonathan | 63 |
| 80 | PEÑA Victor Hugo | 65 |
| 92 | CHAPARRO Didier | 54 |
| 98 | CHALAPUD Robinson | 63 |
| 102 | SANDOVAL Edwin Alexander | 64 |
| 104 | GONZÁLEZ Freddy Excelino | 55 |