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 = 2.1 * weight - 95
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Atapuma
2
59 kgHenao
3
61 kgSevilla
9
62 kgSoliz
13
58 kgPeña
17
65 kgAcevedo
18
63 kgOspina
22
62 kgQuintana
25
58 kgLaverde
26
63 kgParra
28
62 kgTorres
30
56 kgPérez
35
68 kgGonzález
44
55 kgDuarte
46
55 kgChalapud
56
63 kgBetancur
61
60 kgVillegas
64
73 kgAlzate
83
74 kgSandoval
92
64 kg
2
59 kgHenao
3
61 kgSevilla
9
62 kgSoliz
13
58 kgPeña
17
65 kgAcevedo
18
63 kgOspina
22
62 kgQuintana
25
58 kgLaverde
26
63 kgParra
28
62 kgTorres
30
56 kgPérez
35
68 kgGonzález
44
55 kgDuarte
46
55 kgChalapud
56
63 kgBetancur
61
60 kgVillegas
64
73 kgAlzate
83
74 kgSandoval
92
64 kg
Weight (KG) →
Result →
74
55
2
92
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ATAPUMA Darwin | 59 |
| 3 | HENAO Sergio | 61 |
| 9 | SEVILLA Óscar | 62 |
| 13 | SOLIZ Óscar | 58 |
| 17 | PEÑA Victor Hugo | 65 |
| 18 | ACEVEDO Janier | 63 |
| 22 | OSPINA Dalivier | 62 |
| 25 | QUINTANA Nairo | 58 |
| 26 | LAVERDE Luis Felipe | 63 |
| 28 | PARRA Iván Ramiro | 62 |
| 30 | TORRES Rodolfo Andrés | 56 |
| 35 | PÉREZ Marlon Alirio | 68 |
| 44 | GONZÁLEZ Freddy Excelino | 55 |
| 46 | DUARTE Fabio | 55 |
| 56 | CHALAPUD Robinson | 63 |
| 61 | BETANCUR Carlos | 60 |
| 64 | VILLEGAS Juan Pablo | 73 |
| 83 | ALZATE Carlos | 74 |
| 92 | SANDOVAL Edwin Alexander | 64 |