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 = 3 * weight - 144
This means that on average for every extra kilogram weight a rider loses 3 positions in the result.
Serpa
3
64 kgFlórez
6
57 kgGodoy
9
64 kgGálviz
13
65 kgParra
15
51 kgPedraza
18
58 kgAular
20
65 kgMuñoz
27
57 kgRivera
31
56 kgGuamá
33
61 kgQuintero
35
67 kgCruz
43
59 kgLaverde
48
63 kgRodríguez
61
58 kgCastaño
62
66 kgAlzate
77
74 kgMonsalve
81
62 kgViel
96
72 kgBenfatto
98
71 kg
3
64 kgFlórez
6
57 kgGodoy
9
64 kgGálviz
13
65 kgParra
15
51 kgPedraza
18
58 kgAular
20
65 kgMuñoz
27
57 kgRivera
31
56 kgGuamá
33
61 kgQuintero
35
67 kgCruz
43
59 kgLaverde
48
63 kgRodríguez
61
58 kgCastaño
62
66 kgAlzate
77
74 kgMonsalve
81
62 kgViel
96
72 kgBenfatto
98
71 kg
Weight (KG) →
Result →
74
51
3
98
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SERPA José Rodolfo | 64 |
| 6 | FLÓREZ Miguel Eduardo | 57 |
| 9 | GODOY Yonder | 64 |
| 13 | GÁLVIZ Carlos Johan | 65 |
| 15 | PARRA Heiner Rodrigo | 51 |
| 18 | PEDRAZA Wálter Fernando | 58 |
| 20 | AULAR Orluis | 65 |
| 27 | MUÑOZ Daniel | 57 |
| 31 | RIVERA Kevin | 56 |
| 33 | GUAMÁ Byron | 61 |
| 35 | QUINTERO Leonel | 67 |
| 43 | CRUZ Adderlyn Félix | 59 |
| 48 | LAVERDE Luis Felipe | 63 |
| 61 | RODRÍGUEZ Jackson | 58 |
| 62 | CASTAÑO Erick | 66 |
| 77 | ALZATE Carlos | 74 |
| 81 | MONSALVE Yonathan | 62 |
| 96 | VIEL Mattia | 72 |
| 98 | BENFATTO Marco | 71 |