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 - 136
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Henao
2
61 kgDuarte
3
55 kgSevilla
4
62 kgAtapuma
6
59 kgParra
10
62 kgAcevedo
11
63 kgGonzález
12
55 kgLaverde
13
63 kgTorres
17
56 kgOspina
22
62 kgCárdenas
38
59 kgSoliz
40
58 kgVillegas
44
73 kgPeña
47
65 kgPérez
62
68 kgQuintana
75
58 kgChalapud
82
63 kgBetancur
86
60 kgAlzate
92
74 kgSandoval
93
64 kg
2
61 kgDuarte
3
55 kgSevilla
4
62 kgAtapuma
6
59 kgParra
10
62 kgAcevedo
11
63 kgGonzález
12
55 kgLaverde
13
63 kgTorres
17
56 kgOspina
22
62 kgCárdenas
38
59 kgSoliz
40
58 kgVillegas
44
73 kgPeña
47
65 kgPérez
62
68 kgQuintana
75
58 kgChalapud
82
63 kgBetancur
86
60 kgAlzate
92
74 kgSandoval
93
64 kg
Weight (KG) →
Result →
74
55
2
93
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | HENAO Sergio | 61 |
| 3 | DUARTE Fabio | 55 |
| 4 | SEVILLA Óscar | 62 |
| 6 | ATAPUMA Darwin | 59 |
| 10 | PARRA Iván Ramiro | 62 |
| 11 | ACEVEDO Janier | 63 |
| 12 | GONZÁLEZ Freddy Excelino | 55 |
| 13 | LAVERDE Luis Felipe | 63 |
| 17 | TORRES Rodolfo Andrés | 56 |
| 22 | OSPINA Dalivier | 62 |
| 38 | CÁRDENAS Félix Rafael | 59 |
| 40 | SOLIZ Óscar | 58 |
| 44 | VILLEGAS Juan Pablo | 73 |
| 47 | PEÑA Victor Hugo | 65 |
| 62 | PÉREZ Marlon Alirio | 68 |
| 75 | QUINTANA Nairo | 58 |
| 82 | CHALAPUD Robinson | 63 |
| 86 | BETANCUR Carlos | 60 |
| 92 | ALZATE Carlos | 74 |
| 93 | SANDOVAL Edwin Alexander | 64 |