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 = 1.4 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Sevilla
1
62 kgHaedo
2
64 kgRomero
7
55 kgDuarte
13
55 kgSerpa
14
64 kgReyes
16
55 kgLaverde
20
63 kgChalapud
31
63 kgVargas
37
69 kgPedraza
39
58 kgCaicedo
41
62 kgPérez
43
68 kgOspina
48
62 kgArdila
51
58 kgDíaz
55
68 kgSuaza
57
66 kgRamirez
59
69 kgParedes
62
63 kgOrjuela
64
60 kgSoliz
68
58 kg
1
62 kgHaedo
2
64 kgRomero
7
55 kgDuarte
13
55 kgSerpa
14
64 kgReyes
16
55 kgLaverde
20
63 kgChalapud
31
63 kgVargas
37
69 kgPedraza
39
58 kgCaicedo
41
62 kgPérez
43
68 kgOspina
48
62 kgArdila
51
58 kgDíaz
55
68 kgSuaza
57
66 kgRamirez
59
69 kgParedes
62
63 kgOrjuela
64
60 kgSoliz
68
58 kg
Weight (KG) →
Result →
69
55
1
68
# | Rider | Weight (KG) |
---|---|---|
1 | SEVILLA Óscar | 62 |
2 | HAEDO Lucas Sebastián | 64 |
7 | ROMERO Jeffry | 55 |
13 | DUARTE Fabio | 55 |
14 | SERPA José Rodolfo | 64 |
16 | REYES Aldemar | 55 |
20 | LAVERDE Luis Felipe | 63 |
31 | CHALAPUD Robinson | 63 |
37 | VARGAS Walter | 69 |
39 | PEDRAZA Wálter Fernando | 58 |
41 | CAICEDO Jonathan Klever | 62 |
43 | PÉREZ Marlon Alirio | 68 |
48 | OSPINA Dalivier | 62 |
51 | ARDILA Mauricio Alberto | 58 |
55 | DÍAZ Edward Fabián | 68 |
57 | SUAZA Bernardo | 66 |
59 | RAMIREZ Brayan Steven | 69 |
62 | PAREDES Jonathan | 63 |
64 | ORJUELA Fernando | 60 |
68 | SOLIZ Óscar | 58 |