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 = 3.8 * weight - 182
This means that on average for every extra kilogram weight a rider loses 3.8 positions in the result.
Monsalve
14
62 kgGimenez
21
53 kgAular
24
65 kgGodoy
28
64 kgChacón
40
63 kgGil Martinez
51
60 kgUbeto
59
60 kgBusato
63
67 kgMartins
64
70 kgZamparella
66
67 kgConti
82
68 kgRodríguez
83
58 kgDraperi
93
70 kgSánchez
94
72 kgCelano
100
65 kgLinarez
113
74 kgBani
114
72 kg
14
62 kgGimenez
21
53 kgAular
24
65 kgGodoy
28
64 kgChacón
40
63 kgGil Martinez
51
60 kgUbeto
59
60 kgBusato
63
67 kgMartins
64
70 kgZamparella
66
67 kgConti
82
68 kgRodríguez
83
58 kgDraperi
93
70 kgSánchez
94
72 kgCelano
100
65 kgLinarez
113
74 kgBani
114
72 kg
Weight (KG) →
Result →
74
53
14
114
| # | Rider | Weight (KG) |
|---|---|---|
| 14 | MONSALVE Yonathan | 62 |
| 21 | GIMENEZ Carlos | 53 |
| 24 | AULAR Orluis | 65 |
| 28 | GODOY Yonder | 64 |
| 40 | CHACÓN José Isidro | 63 |
| 51 | GIL MARTINEZ Tomas Aurelio | 60 |
| 59 | UBETO Miguel Armando | 60 |
| 63 | BUSATO Matteo | 67 |
| 64 | MARTINS Uri | 70 |
| 66 | ZAMPARELLA Marco | 67 |
| 82 | CONTI Samuele | 68 |
| 83 | RODRÍGUEZ Jackson | 58 |
| 93 | DRAPERI Matteo | 70 |
| 94 | SÁNCHEZ Augusto | 72 |
| 100 | CELANO Danilo | 65 |
| 113 | LINAREZ Leangel Rubén | 74 |
| 114 | BANI Eugenio | 72 |