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 = 1.9 * weight - 83
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
Pira
5
59 kgReyes
7
55 kgSevilla
8
62 kgParra
9
51 kgChalapud
11
63 kgAguirre
12
55 kgSáenz
14
51 kgSierra
15
66 kgVargas
21
59 kgPedraza
22
58 kgSerpa
38
64 kgTorres
39
56 kgRestrepo
42
58 kgSuaza
45
66 kgDuarte
47
55 kgOchoa
48
61 kgNavarro
53
62 kgBohórquez
57
68 kgRoa
67
60 kgPrado
72
65 kg
5
59 kgReyes
7
55 kgSevilla
8
62 kgParra
9
51 kgChalapud
11
63 kgAguirre
12
55 kgSáenz
14
51 kgSierra
15
66 kgVargas
21
59 kgPedraza
22
58 kgSerpa
38
64 kgTorres
39
56 kgRestrepo
42
58 kgSuaza
45
66 kgDuarte
47
55 kgOchoa
48
61 kgNavarro
53
62 kgBohórquez
57
68 kgRoa
67
60 kgPrado
72
65 kg
Weight (KG) →
Result →
68
51
5
72
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | PIRA Yesid Albeiro | 59 |
| 7 | REYES Aldemar | 55 |
| 8 | SEVILLA Óscar | 62 |
| 9 | PARRA Heiner Rodrigo | 51 |
| 11 | CHALAPUD Robinson | 63 |
| 12 | AGUIRRE Hernán Ricardo | 55 |
| 14 | SÁENZ Nicolás | 51 |
| 15 | SIERRA Yecid Arturo | 66 |
| 21 | VARGAS Adrian Enrique | 59 |
| 22 | PEDRAZA Wálter Fernando | 58 |
| 38 | SERPA José Rodolfo | 64 |
| 39 | TORRES Rodolfo Andrés | 56 |
| 42 | RESTREPO Juan Pablo | 58 |
| 45 | SUAZA Bernardo | 66 |
| 47 | DUARTE Fabio | 55 |
| 48 | OCHOA Diego Antonio | 61 |
| 53 | NAVARRO Royner | 62 |
| 57 | BOHÓRQUEZ Hernando | 68 |
| 67 | ROA Jhon Erik | 60 |
| 72 | PRADO Ignacio de Jesús | 65 |