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 = 4.1 * weight - 211
This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
Pedraza
7
58 kgDuarte
8
55 kgWilches
9
56 kgLaverde
10
63 kgSevilla
12
62 kgRubiano
17
58 kgGonzález
18
55 kgChalapud
21
63 kgPeña
26
65 kgCárdenas
28
59 kgParra
32
62 kgBeltrán
43
59 kgZapata
62
62 kgBotero
64
75 kgGutiérrez
75
78 kgGil Martinez
81
60 kgMancebo
87
64 kgGálviz
103
65 kgKemps
115
73 kgChadwick
134
75 kgSandoval
141
64 kg
7
58 kgDuarte
8
55 kgWilches
9
56 kgLaverde
10
63 kgSevilla
12
62 kgRubiano
17
58 kgGonzález
18
55 kgChalapud
21
63 kgPeña
26
65 kgCárdenas
28
59 kgParra
32
62 kgBeltrán
43
59 kgZapata
62
62 kgBotero
64
75 kgGutiérrez
75
78 kgGil Martinez
81
60 kgMancebo
87
64 kgGálviz
103
65 kgKemps
115
73 kgChadwick
134
75 kgSandoval
141
64 kg
Weight (KG) →
Result →
78
55
7
141
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | PEDRAZA Wálter Fernando | 58 |
| 8 | DUARTE Fabio | 55 |
| 9 | WILCHES Juan Pablo | 56 |
| 10 | LAVERDE Luis Felipe | 63 |
| 12 | SEVILLA Óscar | 62 |
| 17 | RUBIANO Miguel Angel | 58 |
| 18 | GONZÁLEZ Freddy Excelino | 55 |
| 21 | CHALAPUD Robinson | 63 |
| 26 | PEÑA Victor Hugo | 65 |
| 28 | CÁRDENAS Félix Rafael | 59 |
| 32 | PARRA Iván Ramiro | 62 |
| 43 | BELTRÁN Edward | 59 |
| 62 | ZAPATA Javier de Jesús | 62 |
| 64 | BOTERO Santiago | 75 |
| 75 | GUTIÉRREZ José Enrique | 78 |
| 81 | GIL MARTINEZ Tomas Aurelio | 60 |
| 87 | MANCEBO Francisco | 64 |
| 103 | GÁLVIZ Carlos Johan | 65 |
| 115 | KEMPS Aaron | 73 |
| 134 | CHADWICK Glen Alan | 75 |
| 141 | SANDOVAL Edwin Alexander | 64 |