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 = 3.1 * weight - 147
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Soliz
4
58 kgLaverde
5
63 kgHenao
6
61 kgAtapuma
13
59 kgParra
15
62 kgSevilla
16
62 kgDuarte
17
55 kgOspina
24
62 kgAcevedo
26
63 kgCárdenas
29
59 kgTorres
33
56 kgPérez
38
68 kgChalapud
43
63 kgPeña
47
65 kgGonzález
48
55 kgQuintana
91
58 kgVillegas
94
73 kgBetancur
100
60 kgSandoval
101
64 kgAlzate
103
74 kg
4
58 kgLaverde
5
63 kgHenao
6
61 kgAtapuma
13
59 kgParra
15
62 kgSevilla
16
62 kgDuarte
17
55 kgOspina
24
62 kgAcevedo
26
63 kgCárdenas
29
59 kgTorres
33
56 kgPérez
38
68 kgChalapud
43
63 kgPeña
47
65 kgGonzález
48
55 kgQuintana
91
58 kgVillegas
94
73 kgBetancur
100
60 kgSandoval
101
64 kgAlzate
103
74 kg
Weight (KG) →
Result →
74
55
4
103
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SOLIZ Óscar | 58 |
| 5 | LAVERDE Luis Felipe | 63 |
| 6 | HENAO Sergio | 61 |
| 13 | ATAPUMA Darwin | 59 |
| 15 | PARRA Iván Ramiro | 62 |
| 16 | SEVILLA Óscar | 62 |
| 17 | DUARTE Fabio | 55 |
| 24 | OSPINA Dalivier | 62 |
| 26 | ACEVEDO Janier | 63 |
| 29 | CÁRDENAS Félix Rafael | 59 |
| 33 | TORRES Rodolfo Andrés | 56 |
| 38 | PÉREZ Marlon Alirio | 68 |
| 43 | CHALAPUD Robinson | 63 |
| 47 | PEÑA Victor Hugo | 65 |
| 48 | GONZÁLEZ Freddy Excelino | 55 |
| 91 | QUINTANA Nairo | 58 |
| 94 | VILLEGAS Juan Pablo | 73 |
| 100 | BETANCUR Carlos | 60 |
| 101 | SANDOVAL Edwin Alexander | 64 |
| 103 | ALZATE Carlos | 74 |