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 = 4.5 * weight - 236
This means that on average for every extra kilogram weight a rider loses 4.5 positions in the result.
Monsalve
5
62 kgGimenez
22
53 kgChacón
28
63 kgAular
29
65 kgRodríguez
30
58 kgGodoy
34
64 kgZamparella
43
67 kgBusato
44
67 kgGil Martinez
52
60 kgUbeto
53
60 kgMartins
62
70 kgSánchez
81
72 kgCelano
93
65 kgConti
97
68 kgDraperi
99
70 kgLinarez
105
74 kgBani
116
72 kgLunardon
117
77 kg
5
62 kgGimenez
22
53 kgChacón
28
63 kgAular
29
65 kgRodríguez
30
58 kgGodoy
34
64 kgZamparella
43
67 kgBusato
44
67 kgGil Martinez
52
60 kgUbeto
53
60 kgMartins
62
70 kgSánchez
81
72 kgCelano
93
65 kgConti
97
68 kgDraperi
99
70 kgLinarez
105
74 kgBani
116
72 kgLunardon
117
77 kg
Weight (KG) →
Result →
77
53
5
117
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MONSALVE Yonathan | 62 |
| 22 | GIMENEZ Carlos | 53 |
| 28 | CHACÓN José Isidro | 63 |
| 29 | AULAR Orluis | 65 |
| 30 | RODRÍGUEZ Jackson | 58 |
| 34 | GODOY Yonder | 64 |
| 43 | ZAMPARELLA Marco | 67 |
| 44 | BUSATO Matteo | 67 |
| 52 | GIL MARTINEZ Tomas Aurelio | 60 |
| 53 | UBETO Miguel Armando | 60 |
| 62 | MARTINS Uri | 70 |
| 81 | SÁNCHEZ Augusto | 72 |
| 93 | CELANO Danilo | 65 |
| 97 | CONTI Samuele | 68 |
| 99 | DRAPERI Matteo | 70 |
| 105 | LINAREZ Leangel Rubén | 74 |
| 116 | BANI Eugenio | 72 |
| 117 | LUNARDON Paolo | 77 |