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 = 0.6 * weight - 10
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Sevilla
1
62 kgHaedo
2
64 kgMolano
3
72 kgRomero
8
55 kgReyes
9
55 kgDuarte
19
55 kgChalapud
25
63 kgSerpa
26
64 kgVargas
27
69 kgCaicedo
31
62 kgPedraza
36
58 kgOspina
37
62 kgArdila
39
58 kgPérez
40
68 kgLaverde
41
63 kgRamirez
51
69 kgDíaz
52
68 kgOrjuela
56
60 kgParedes
57
63 kg
1
62 kgHaedo
2
64 kgMolano
3
72 kgRomero
8
55 kgReyes
9
55 kgDuarte
19
55 kgChalapud
25
63 kgSerpa
26
64 kgVargas
27
69 kgCaicedo
31
62 kgPedraza
36
58 kgOspina
37
62 kgArdila
39
58 kgPérez
40
68 kgLaverde
41
63 kgRamirez
51
69 kgDíaz
52
68 kgOrjuela
56
60 kgParedes
57
63 kg
Weight (KG) →
Result →
72
55
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | HAEDO Lucas Sebastián | 64 |
| 3 | MOLANO Juan Sebastián | 72 |
| 8 | ROMERO Jeffry | 55 |
| 9 | REYES Aldemar | 55 |
| 19 | DUARTE Fabio | 55 |
| 25 | CHALAPUD Robinson | 63 |
| 26 | SERPA José Rodolfo | 64 |
| 27 | VARGAS Walter | 69 |
| 31 | CAICEDO Jonathan Klever | 62 |
| 36 | PEDRAZA Wálter Fernando | 58 |
| 37 | OSPINA Dalivier | 62 |
| 39 | ARDILA Mauricio Alberto | 58 |
| 40 | PÉREZ Marlon Alirio | 68 |
| 41 | LAVERDE Luis Felipe | 63 |
| 51 | RAMIREZ Brayan Steven | 69 |
| 52 | DÍAZ Edward Fabián | 68 |
| 56 | ORJUELA Fernando | 60 |
| 57 | PAREDES Jonathan | 63 |