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 = 1.7 * weight - 71
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
Sevilla
1
62 kgHaedo
2
64 kgRomero
7
55 kgReyes
11
55 kgSerpa
12
64 kgDuarte
25
55 kgChalapud
31
63 kgVargas
34
69 kgCaicedo
38
62 kgPedraza
43
58 kgOspina
44
62 kgArdila
48
58 kgPérez
49
68 kgLaverde
50
63 kgSuaza
54
66 kgRamirez
56
69 kgDíaz
57
68 kgParedes
60
63 kgOrjuela
61
60 kg
1
62 kgHaedo
2
64 kgRomero
7
55 kgReyes
11
55 kgSerpa
12
64 kgDuarte
25
55 kgChalapud
31
63 kgVargas
34
69 kgCaicedo
38
62 kgPedraza
43
58 kgOspina
44
62 kgArdila
48
58 kgPérez
49
68 kgLaverde
50
63 kgSuaza
54
66 kgRamirez
56
69 kgDíaz
57
68 kgParedes
60
63 kgOrjuela
61
60 kg
Weight (KG) →
Result →
69
55
1
61
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 2 | HAEDO Lucas Sebastián | 64 |
| 7 | ROMERO Jeffry | 55 |
| 11 | REYES Aldemar | 55 |
| 12 | SERPA José Rodolfo | 64 |
| 25 | DUARTE Fabio | 55 |
| 31 | CHALAPUD Robinson | 63 |
| 34 | VARGAS Walter | 69 |
| 38 | CAICEDO Jonathan Klever | 62 |
| 43 | PEDRAZA Wálter Fernando | 58 |
| 44 | OSPINA Dalivier | 62 |
| 48 | ARDILA Mauricio Alberto | 58 |
| 49 | PÉREZ Marlon Alirio | 68 |
| 50 | LAVERDE Luis Felipe | 63 |
| 54 | SUAZA Bernardo | 66 |
| 56 | RAMIREZ Brayan Steven | 69 |
| 57 | DÍAZ Edward Fabián | 68 |
| 60 | PAREDES Jonathan | 63 |
| 61 | ORJUELA Fernando | 60 |