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 = 4.1 * weight - 204
This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
Monsalve
2
62 kgGimenez
19
53 kgAular
26
65 kgGodoy
31
64 kgChacón
34
63 kgRodríguez
42
58 kgMartins
51
70 kgGil Martinez
63
60 kgUbeto
77
60 kgBusato
78
67 kgConti
83
68 kgZamparella
90
67 kgDraperi
91
70 kgSánchez
97
72 kgBani
99
72 kgCelano
100
65 kgLinarez
116
74 kg
2
62 kgGimenez
19
53 kgAular
26
65 kgGodoy
31
64 kgChacón
34
63 kgRodríguez
42
58 kgMartins
51
70 kgGil Martinez
63
60 kgUbeto
77
60 kgBusato
78
67 kgConti
83
68 kgZamparella
90
67 kgDraperi
91
70 kgSánchez
97
72 kgBani
99
72 kgCelano
100
65 kgLinarez
116
74 kg
Weight (KG) →
Result →
74
53
2
116
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MONSALVE Yonathan | 62 |
| 19 | GIMENEZ Carlos | 53 |
| 26 | AULAR Orluis | 65 |
| 31 | GODOY Yonder | 64 |
| 34 | CHACÓN José Isidro | 63 |
| 42 | RODRÍGUEZ Jackson | 58 |
| 51 | MARTINS Uri | 70 |
| 63 | GIL MARTINEZ Tomas Aurelio | 60 |
| 77 | UBETO Miguel Armando | 60 |
| 78 | BUSATO Matteo | 67 |
| 83 | CONTI Samuele | 68 |
| 90 | ZAMPARELLA Marco | 67 |
| 91 | DRAPERI Matteo | 70 |
| 97 | SÁNCHEZ Augusto | 72 |
| 99 | BANI Eugenio | 72 |
| 100 | CELANO Danilo | 65 |
| 116 | LINAREZ Leangel Rubén | 74 |