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 - 135
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Duarte
1
55 kgSevilla
2
62 kgAtapuma
5
59 kgParra
7
62 kgHenao
10
61 kgChalapud
13
63 kgAcevedo
16
63 kgBetancur
21
60 kgOspina
22
62 kgTorres
26
56 kgVillegas
35
73 kgGonzález
41
55 kgQuintana
45
58 kgSoliz
51
58 kgPérez
74
68 kgLaverde
81
63 kgAlzate
84
74 kgPeña
87
65 kgSandoval
94
64 kg
1
55 kgSevilla
2
62 kgAtapuma
5
59 kgParra
7
62 kgHenao
10
61 kgChalapud
13
63 kgAcevedo
16
63 kgBetancur
21
60 kgOspina
22
62 kgTorres
26
56 kgVillegas
35
73 kgGonzález
41
55 kgQuintana
45
58 kgSoliz
51
58 kgPérez
74
68 kgLaverde
81
63 kgAlzate
84
74 kgPeña
87
65 kgSandoval
94
64 kg
Weight (KG) →
Result →
74
55
1
94
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUARTE Fabio | 55 |
| 2 | SEVILLA Óscar | 62 |
| 5 | ATAPUMA Darwin | 59 |
| 7 | PARRA Iván Ramiro | 62 |
| 10 | HENAO Sergio | 61 |
| 13 | CHALAPUD Robinson | 63 |
| 16 | ACEVEDO Janier | 63 |
| 21 | BETANCUR Carlos | 60 |
| 22 | OSPINA Dalivier | 62 |
| 26 | TORRES Rodolfo Andrés | 56 |
| 35 | VILLEGAS Juan Pablo | 73 |
| 41 | GONZÁLEZ Freddy Excelino | 55 |
| 45 | QUINTANA Nairo | 58 |
| 51 | SOLIZ Óscar | 58 |
| 74 | PÉREZ Marlon Alirio | 68 |
| 81 | LAVERDE Luis Felipe | 63 |
| 84 | ALZATE Carlos | 74 |
| 87 | PEÑA Victor Hugo | 65 |
| 94 | SANDOVAL Edwin Alexander | 64 |