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 = 2.1 * weight - 86
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Aular
3
65 kgGodoy
8
64 kgGálviz
11
65 kgParra
16
51 kgFlórez
17
57 kgMuñoz
18
57 kgLaverde
19
63 kgPedraza
21
58 kgQuintero
23
67 kgMonsalve
24
62 kgGuamá
32
61 kgMerchan
36
57 kgSerpa
53
64 kgRivera
55
56 kgCastaño
74
66 kgViel
87
72 kgAlzate
88
74 kgBenfatto
91
71 kgRodríguez
96
58 kgCruz
99
59 kg
3
65 kgGodoy
8
64 kgGálviz
11
65 kgParra
16
51 kgFlórez
17
57 kgMuñoz
18
57 kgLaverde
19
63 kgPedraza
21
58 kgQuintero
23
67 kgMonsalve
24
62 kgGuamá
32
61 kgMerchan
36
57 kgSerpa
53
64 kgRivera
55
56 kgCastaño
74
66 kgViel
87
72 kgAlzate
88
74 kgBenfatto
91
71 kgRodríguez
96
58 kgCruz
99
59 kg
Weight (KG) →
Result →
74
51
3
99
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | AULAR Orluis | 65 |
| 8 | GODOY Yonder | 64 |
| 11 | GÁLVIZ Carlos Johan | 65 |
| 16 | PARRA Heiner Rodrigo | 51 |
| 17 | FLÓREZ Miguel Eduardo | 57 |
| 18 | MUÑOZ Daniel | 57 |
| 19 | LAVERDE Luis Felipe | 63 |
| 21 | PEDRAZA Wálter Fernando | 58 |
| 23 | QUINTERO Leonel | 67 |
| 24 | MONSALVE Yonathan | 62 |
| 32 | GUAMÁ Byron | 61 |
| 36 | MERCHAN Didier | 57 |
| 53 | SERPA José Rodolfo | 64 |
| 55 | RIVERA Kevin | 56 |
| 74 | CASTAÑO Erick | 66 |
| 87 | VIEL Mattia | 72 |
| 88 | ALZATE Carlos | 74 |
| 91 | BENFATTO Marco | 71 |
| 96 | RODRÍGUEZ Jackson | 58 |
| 99 | CRUZ Adderlyn Félix | 59 |