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 = 1.6 * weight - 38
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Gálviz
5
65 kgGodoy
8
64 kgRodríguez
12
58 kgMonsalve
26
62 kgOchoa
27
62 kgChacón
44
63 kgSella
58
54 kgGimenez
62
53 kgVdovin
64
62.5 kgGil Martinez
66
60 kgBusato
68
67 kgStrakhov
73
70 kgUbeto
81
60 kgFavilli
102
61 kgNardin
103
63.5 kgZhupa
104
78 kgFonzi
105
63 kgMuñoz
114
64 kg
5
65 kgGodoy
8
64 kgRodríguez
12
58 kgMonsalve
26
62 kgOchoa
27
62 kgChacón
44
63 kgSella
58
54 kgGimenez
62
53 kgVdovin
64
62.5 kgGil Martinez
66
60 kgBusato
68
67 kgStrakhov
73
70 kgUbeto
81
60 kgFavilli
102
61 kgNardin
103
63.5 kgZhupa
104
78 kgFonzi
105
63 kgMuñoz
114
64 kg
Weight (KG) →
Result →
78
53
5
114
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | GÁLVIZ Carlos Johan | 65 |
| 8 | GODOY Yonder | 64 |
| 12 | RODRÍGUEZ Jackson | 58 |
| 26 | MONSALVE Yonathan | 62 |
| 27 | OCHOA Carlos José | 62 |
| 44 | CHACÓN José Isidro | 63 |
| 58 | SELLA Emanuele | 54 |
| 62 | GIMENEZ Carlos | 53 |
| 64 | VDOVIN Sergey | 62.5 |
| 66 | GIL MARTINEZ Tomas Aurelio | 60 |
| 68 | BUSATO Matteo | 67 |
| 73 | STRAKHOV Dmitry | 70 |
| 81 | UBETO Miguel Armando | 60 |
| 102 | FAVILLI Elia | 61 |
| 103 | NARDIN Alberto | 63.5 |
| 104 | ZHUPA Eugert | 78 |
| 105 | FONZI Giuseppe | 63 |
| 114 | MUÑOZ William David | 64 |