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 = 2.6 * weight - 113
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Monsalve
1
62 kgGodoy
6
64 kgQuintero
7
67 kgMerchan
14
57 kgRodríguez
19
58 kgGálviz
25
65 kgMuñoz
28
57 kgFlórez
29
57 kgPedraza
39
58 kgParra
40
51 kgGuamá
53
61 kgAular
56
65 kgRivera
64
56 kgCastaño
74
66 kgCruz
75
59 kgLaverde
77
63 kgAlzate
83
74 kgSerpa
96
64 kgBenfatto
100
71 kgViel
101
72 kg
1
62 kgGodoy
6
64 kgQuintero
7
67 kgMerchan
14
57 kgRodríguez
19
58 kgGálviz
25
65 kgMuñoz
28
57 kgFlórez
29
57 kgPedraza
39
58 kgParra
40
51 kgGuamá
53
61 kgAular
56
65 kgRivera
64
56 kgCastaño
74
66 kgCruz
75
59 kgLaverde
77
63 kgAlzate
83
74 kgSerpa
96
64 kgBenfatto
100
71 kgViel
101
72 kg
Weight (KG) →
Result →
74
51
1
101
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MONSALVE Yonathan | 62 |
| 6 | GODOY Yonder | 64 |
| 7 | QUINTERO Leonel | 67 |
| 14 | MERCHAN Didier | 57 |
| 19 | RODRÍGUEZ Jackson | 58 |
| 25 | GÁLVIZ Carlos Johan | 65 |
| 28 | MUÑOZ Daniel | 57 |
| 29 | FLÓREZ Miguel Eduardo | 57 |
| 39 | PEDRAZA Wálter Fernando | 58 |
| 40 | PARRA Heiner Rodrigo | 51 |
| 53 | GUAMÁ Byron | 61 |
| 56 | AULAR Orluis | 65 |
| 64 | RIVERA Kevin | 56 |
| 74 | CASTAÑO Erick | 66 |
| 75 | CRUZ Adderlyn Félix | 59 |
| 77 | LAVERDE Luis Felipe | 63 |
| 83 | ALZATE Carlos | 74 |
| 96 | SERPA José Rodolfo | 64 |
| 100 | BENFATTO Marco | 71 |
| 101 | VIEL Mattia | 72 |