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 + 33
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
González
1
55 kgPedraza
9
58 kgSevilla
10
62 kgPeña
11
65 kgSandoval
16
64 kgHenao
21
61 kgRomero
23
55 kgSuarez
29
67 kgCárdenas
30
59 kgVillegas
32
73 kgAtapuma
35
59 kgPérez
38
68 kgGuamá
43
61 kgTorres
52
56 kgPantano
53
61 kgGutiérrez
61
78 kgChaparro
73
54 kgSoliz
74
58 kgWilches
77
56 kgChalapud
103
63 kgParedes
111
63 kgAcevedo
115
63 kg
1
55 kgPedraza
9
58 kgSevilla
10
62 kgPeña
11
65 kgSandoval
16
64 kgHenao
21
61 kgRomero
23
55 kgSuarez
29
67 kgCárdenas
30
59 kgVillegas
32
73 kgAtapuma
35
59 kgPérez
38
68 kgGuamá
43
61 kgTorres
52
56 kgPantano
53
61 kgGutiérrez
61
78 kgChaparro
73
54 kgSoliz
74
58 kgWilches
77
56 kgChalapud
103
63 kgParedes
111
63 kgAcevedo
115
63 kg
Weight (KG) →
Result →
78
54
1
115
# | Rider | Weight (KG) |
---|---|---|
1 | GONZÁLEZ Freddy Excelino | 55 |
9 | PEDRAZA Wálter Fernando | 58 |
10 | SEVILLA Óscar | 62 |
11 | PEÑA Victor Hugo | 65 |
16 | SANDOVAL Edwin Alexander | 64 |
21 | HENAO Sergio | 61 |
23 | ROMERO Jeffry | 55 |
29 | SUAREZ Camilo Andres | 67 |
30 | CÁRDENAS Félix Rafael | 59 |
32 | VILLEGAS Juan Pablo | 73 |
35 | ATAPUMA Darwin | 59 |
38 | PÉREZ Marlon Alirio | 68 |
43 | GUAMÁ Byron | 61 |
52 | TORRES Rodolfo Andrés | 56 |
53 | PANTANO Jarlinson | 61 |
61 | GUTIÉRREZ José Enrique | 78 |
73 | CHAPARRO Didier | 54 |
74 | SOLIZ Óscar | 58 |
77 | WILCHES Juan Pablo | 56 |
103 | CHALAPUD Robinson | 63 |
111 | PAREDES Jonathan | 63 |
115 | ACEVEDO Janier | 63 |