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 = 2.9 * weight - 135
This means that on average for every extra kilogram weight a rider loses 2.9 positions in the result.
Monsalve
1
62 kgQuintero
7
67 kgGodoy
8
64 kgFlórez
12
57 kgGálviz
14
65 kgMuñoz
17
57 kgParra
27
51 kgPedraza
28
58 kgMerchan
29
57 kgGuamá
32
61 kgAular
33
65 kgRodríguez
55
58 kgRivera
61
56 kgLaverde
67
63 kgCastaño
75
66 kgCruz
77
59 kgSerpa
82
64 kgViel
91
72 kgBenfatto
101
71 kgAlzate
105
74 kg
1
62 kgQuintero
7
67 kgGodoy
8
64 kgFlórez
12
57 kgGálviz
14
65 kgMuñoz
17
57 kgParra
27
51 kgPedraza
28
58 kgMerchan
29
57 kgGuamá
32
61 kgAular
33
65 kgRodríguez
55
58 kgRivera
61
56 kgLaverde
67
63 kgCastaño
75
66 kgCruz
77
59 kgSerpa
82
64 kgViel
91
72 kgBenfatto
101
71 kgAlzate
105
74 kg
Weight (KG) →
Result →
74
51
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONSALVE Yonathan | 62 |
| 7 | QUINTERO Leonel | 67 |
| 8 | GODOY Yonder | 64 |
| 12 | FLÓREZ Miguel Eduardo | 57 |
| 14 | GÁLVIZ Carlos Johan | 65 |
| 17 | MUÑOZ Daniel | 57 |
| 27 | PARRA Heiner Rodrigo | 51 |
| 28 | PEDRAZA Wálter Fernando | 58 |
| 29 | MERCHAN Didier | 57 |
| 32 | GUAMÁ Byron | 61 |
| 33 | AULAR Orluis | 65 |
| 55 | RODRÍGUEZ Jackson | 58 |
| 61 | RIVERA Kevin | 56 |
| 67 | LAVERDE Luis Felipe | 63 |
| 75 | CASTAÑO Erick | 66 |
| 77 | CRUZ Adderlyn Félix | 59 |
| 82 | SERPA José Rodolfo | 64 |
| 91 | VIEL Mattia | 72 |
| 101 | BENFATTO Marco | 71 |
| 105 | ALZATE Carlos | 74 |