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 = 2.1 * weight - 72
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
Gálviz
3
65 kgGodoy
8
64 kgRodríguez
12
58 kgMonsalve
24
62 kgOchoa
25
62 kgChacón
37
63 kgSella
42
54 kgGimenez
59
53 kgGil Martinez
63
60 kgBusato
64
67 kgVdovin
78
62.5 kgUbeto
82
60 kgStrakhov
83
70 kgFavilli
84
61 kgNardin
96
63.5 kgZhupa
105
78 kgMuñoz
108
64 kgFonzi
115
63 kg
3
65 kgGodoy
8
64 kgRodríguez
12
58 kgMonsalve
24
62 kgOchoa
25
62 kgChacón
37
63 kgSella
42
54 kgGimenez
59
53 kgGil Martinez
63
60 kgBusato
64
67 kgVdovin
78
62.5 kgUbeto
82
60 kgStrakhov
83
70 kgFavilli
84
61 kgNardin
96
63.5 kgZhupa
105
78 kgMuñoz
108
64 kgFonzi
115
63 kg
Weight (KG) →
Result →
78
53
3
115
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | GÁLVIZ Carlos Johan | 65 |
| 8 | GODOY Yonder | 64 |
| 12 | RODRÍGUEZ Jackson | 58 |
| 24 | MONSALVE Yonathan | 62 |
| 25 | OCHOA Carlos José | 62 |
| 37 | CHACÓN José Isidro | 63 |
| 42 | SELLA Emanuele | 54 |
| 59 | GIMENEZ Carlos | 53 |
| 63 | GIL MARTINEZ Tomas Aurelio | 60 |
| 64 | BUSATO Matteo | 67 |
| 78 | VDOVIN Sergey | 62.5 |
| 82 | UBETO Miguel Armando | 60 |
| 83 | STRAKHOV Dmitry | 70 |
| 84 | FAVILLI Elia | 61 |
| 96 | NARDIN Alberto | 63.5 |
| 105 | ZHUPA Eugert | 78 |
| 108 | MUÑOZ William David | 64 |
| 115 | FONZI Giuseppe | 63 |