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 = 1.2 * weight - 38
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Sevilla
1
62 kgHaedo
2
64 kgRomero
9
55 kgSerpa
13
64 kgDuarte
14
55 kgReyes
17
55 kgSuaza
19
66 kgLaverde
21
63 kgChalapud
34
63 kgVargas
40
69 kgPedraza
42
58 kgOspina
44
62 kgCaicedo
46
62 kgPérez
47
68 kgArdila
52
58 kgDíaz
57
68 kgRamirez
60
69 kgOsorio
62
65 kgYustre
65
58 kgOrjuela
67
60 kg
1
62 kgHaedo
2
64 kgRomero
9
55 kgSerpa
13
64 kgDuarte
14
55 kgReyes
17
55 kgSuaza
19
66 kgLaverde
21
63 kgChalapud
34
63 kgVargas
40
69 kgPedraza
42
58 kgOspina
44
62 kgCaicedo
46
62 kgPérez
47
68 kgArdila
52
58 kgDíaz
57
68 kgRamirez
60
69 kgOsorio
62
65 kgYustre
65
58 kgOrjuela
67
60 kg
Weight (KG) →
Result →
69
55
1
67
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | HAEDO Lucas Sebastián | 64 |
| 9 | ROMERO Jeffry | 55 |
| 13 | SERPA José Rodolfo | 64 |
| 14 | DUARTE Fabio | 55 |
| 17 | REYES Aldemar | 55 |
| 19 | SUAZA Bernardo | 66 |
| 21 | LAVERDE Luis Felipe | 63 |
| 34 | CHALAPUD Robinson | 63 |
| 40 | VARGAS Walter | 69 |
| 42 | PEDRAZA Wálter Fernando | 58 |
| 44 | OSPINA Dalivier | 62 |
| 46 | CAICEDO Jonathan Klever | 62 |
| 47 | PÉREZ Marlon Alirio | 68 |
| 52 | ARDILA Mauricio Alberto | 58 |
| 57 | DÍAZ Edward Fabián | 68 |
| 60 | RAMIREZ Brayan Steven | 69 |
| 62 | OSORIO Juan Felipe | 65 |
| 65 | YUSTRE Kristian Javier | 58 |
| 67 | ORJUELA Fernando | 60 |