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 = 2 * weight - 87
This means that on average for every extra kilogram weight a rider loses 2 positions in the result.
Ochoa
3
61 kgPira
4
59 kgPedraza
7
58 kgDuarte
12
55 kgReyes
14
55 kgSáenz
16
51 kgAguirre
18
55 kgSevilla
19
62 kgParra
22
51 kgRestrepo
34
58 kgBohórquez
35
68 kgChalapud
37
63 kgVargas
42
59 kgSierra
44
66 kgSuaza
48
66 kgSerpa
56
64 kgPrado
65
65 kgTorres
67
56 kgRoa
72
60 kgNavarro
73
62 kg
3
61 kgPira
4
59 kgPedraza
7
58 kgDuarte
12
55 kgReyes
14
55 kgSáenz
16
51 kgAguirre
18
55 kgSevilla
19
62 kgParra
22
51 kgRestrepo
34
58 kgBohórquez
35
68 kgChalapud
37
63 kgVargas
42
59 kgSierra
44
66 kgSuaza
48
66 kgSerpa
56
64 kgPrado
65
65 kgTorres
67
56 kgRoa
72
60 kgNavarro
73
62 kg
Weight (KG) →
Result →
68
51
3
73
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | OCHOA Diego Antonio | 61 |
| 4 | PIRA Yesid Albeiro | 59 |
| 7 | PEDRAZA Wálter Fernando | 58 |
| 12 | DUARTE Fabio | 55 |
| 14 | REYES Aldemar | 55 |
| 16 | SÁENZ Nicolás | 51 |
| 18 | AGUIRRE Hernán Ricardo | 55 |
| 19 | SEVILLA Óscar | 62 |
| 22 | PARRA Heiner Rodrigo | 51 |
| 34 | RESTREPO Juan Pablo | 58 |
| 35 | BOHÓRQUEZ Hernando | 68 |
| 37 | CHALAPUD Robinson | 63 |
| 42 | VARGAS Adrian Enrique | 59 |
| 44 | SIERRA Yecid Arturo | 66 |
| 48 | SUAZA Bernardo | 66 |
| 56 | SERPA José Rodolfo | 64 |
| 65 | PRADO Ignacio de Jesús | 65 |
| 67 | TORRES Rodolfo Andrés | 56 |
| 72 | ROA Jhon Erik | 60 |
| 73 | NAVARRO Royner | 62 |