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 = 0.3 * weight + 18
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Villegas
2
73 kgBetancur
3
60 kgHenao
5
61 kgSevilla
7
62 kgGonzález
9
55 kgParra
15
62 kgAtapuma
18
59 kgAlzate
26
74 kgLaverde
27
63 kgQuintana
29
58 kgTorres
33
56 kgOspina
36
62 kgPeña
42
65 kgSoliz
43
58 kgDuarte
47
55 kgPérez
58
68 kgAcevedo
71
63 kgChalapud
86
63 kgSandoval
93
64 kg
2
73 kgBetancur
3
60 kgHenao
5
61 kgSevilla
7
62 kgGonzález
9
55 kgParra
15
62 kgAtapuma
18
59 kgAlzate
26
74 kgLaverde
27
63 kgQuintana
29
58 kgTorres
33
56 kgOspina
36
62 kgPeña
42
65 kgSoliz
43
58 kgDuarte
47
55 kgPérez
58
68 kgAcevedo
71
63 kgChalapud
86
63 kgSandoval
93
64 kg
Weight (KG) →
Result →
74
55
2
93
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VILLEGAS Juan Pablo | 73 |
| 3 | BETANCUR Carlos | 60 |
| 5 | HENAO Sergio | 61 |
| 7 | SEVILLA Óscar | 62 |
| 9 | GONZÁLEZ Freddy Excelino | 55 |
| 15 | PARRA Iván Ramiro | 62 |
| 18 | ATAPUMA Darwin | 59 |
| 26 | ALZATE Carlos | 74 |
| 27 | LAVERDE Luis Felipe | 63 |
| 29 | QUINTANA Nairo | 58 |
| 33 | TORRES Rodolfo Andrés | 56 |
| 36 | OSPINA Dalivier | 62 |
| 42 | PEÑA Victor Hugo | 65 |
| 43 | SOLIZ Óscar | 58 |
| 47 | DUARTE Fabio | 55 |
| 58 | PÉREZ Marlon Alirio | 68 |
| 71 | ACEVEDO Janier | 63 |
| 86 | CHALAPUD Robinson | 63 |
| 93 | SANDOVAL Edwin Alexander | 64 |