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 = 3.3 * weight - 149
This means that on average for every extra kilogram weight a rider loses 3.3 positions in the result.
Monsalve
20
62 kgGimenez
21
53 kgGodoy
22
64 kgAular
24
65 kgChacón
55
63 kgGil Martinez
59
60 kgCelano
62
65 kgZamparella
68
67 kgUbeto
75
60 kgBusato
80
67 kgConti
84
68 kgMartins
87
70 kgSánchez
91
72 kgDraperi
104
70 kgLinarez
109
74 kgRodríguez
112
58 kgBani
115
72 kg
20
62 kgGimenez
21
53 kgGodoy
22
64 kgAular
24
65 kgChacón
55
63 kgGil Martinez
59
60 kgCelano
62
65 kgZamparella
68
67 kgUbeto
75
60 kgBusato
80
67 kgConti
84
68 kgMartins
87
70 kgSánchez
91
72 kgDraperi
104
70 kgLinarez
109
74 kgRodríguez
112
58 kgBani
115
72 kg
Weight (KG) →
Result →
74
53
20
115
| # | Rider | Weight (KG) |
|---|---|---|
| 20 | MONSALVE Yonathan | 62 |
| 21 | GIMENEZ Carlos | 53 |
| 22 | GODOY Yonder | 64 |
| 24 | AULAR Orluis | 65 |
| 55 | CHACÓN José Isidro | 63 |
| 59 | GIL MARTINEZ Tomas Aurelio | 60 |
| 62 | CELANO Danilo | 65 |
| 68 | ZAMPARELLA Marco | 67 |
| 75 | UBETO Miguel Armando | 60 |
| 80 | BUSATO Matteo | 67 |
| 84 | CONTI Samuele | 68 |
| 87 | MARTINS Uri | 70 |
| 91 | SÁNCHEZ Augusto | 72 |
| 104 | DRAPERI Matteo | 70 |
| 109 | LINAREZ Leangel Rubén | 74 |
| 112 | RODRÍGUEZ Jackson | 58 |
| 115 | BANI Eugenio | 72 |