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 = 3.1 * weight - 148
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Aular
2
65 kgFlórez
5
57 kgRivera
6
56 kgPedraza
10
58 kgGodoy
11
64 kgQuintero
12
67 kgGálviz
18
65 kgSerpa
33
64 kgMuñoz
34
57 kgMerchan
35
57 kgMonsalve
36
62 kgParra
37
51 kgLaverde
43
63 kgGuamá
46
61 kgRodríguez
59
58 kgCruz
77
59 kgCastaño
79
66 kgViel
99
72 kgBenfatto
101
71 kgAlzate
102
74 kg
2
65 kgFlórez
5
57 kgRivera
6
56 kgPedraza
10
58 kgGodoy
11
64 kgQuintero
12
67 kgGálviz
18
65 kgSerpa
33
64 kgMuñoz
34
57 kgMerchan
35
57 kgMonsalve
36
62 kgParra
37
51 kgLaverde
43
63 kgGuamá
46
61 kgRodríguez
59
58 kgCruz
77
59 kgCastaño
79
66 kgViel
99
72 kgBenfatto
101
71 kgAlzate
102
74 kg
Weight (KG) →
Result →
74
51
2
102
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | AULAR Orluis | 65 |
| 5 | FLÓREZ Miguel Eduardo | 57 |
| 6 | RIVERA Kevin | 56 |
| 10 | PEDRAZA Wálter Fernando | 58 |
| 11 | GODOY Yonder | 64 |
| 12 | QUINTERO Leonel | 67 |
| 18 | GÁLVIZ Carlos Johan | 65 |
| 33 | SERPA José Rodolfo | 64 |
| 34 | MUÑOZ Daniel | 57 |
| 35 | MERCHAN Didier | 57 |
| 36 | MONSALVE Yonathan | 62 |
| 37 | PARRA Heiner Rodrigo | 51 |
| 43 | LAVERDE Luis Felipe | 63 |
| 46 | GUAMÁ Byron | 61 |
| 59 | RODRÍGUEZ Jackson | 58 |
| 77 | CRUZ Adderlyn Félix | 59 |
| 79 | CASTAÑO Erick | 66 |
| 99 | VIEL Mattia | 72 |
| 101 | BENFATTO Marco | 71 |
| 102 | ALZATE Carlos | 74 |