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 - 192
This means that on average for every extra kilogram weight a rider loses 4.1 positions in the result.
Gálviz
1
65 kgRodríguez
2
58 kgGodoy
6
64 kgOchoa
7
62 kgSella
16
54 kgMonsalve
25
62 kgChacón
32
63 kgBusato
41
67 kgFavilli
50
61 kgGimenez
53
53 kgGil Martinez
56
60 kgUbeto
88
60 kgStrakhov
92
70 kgNardin
95
63.5 kgVdovin
100
62.5 kgRangel
104
63 kgMuñoz
107
64 kgZhupa
120
78 kgMareczko
123
67 kgFonzi
125
63 kgBenfatto
126
71 kg
1
65 kgRodríguez
2
58 kgGodoy
6
64 kgOchoa
7
62 kgSella
16
54 kgMonsalve
25
62 kgChacón
32
63 kgBusato
41
67 kgFavilli
50
61 kgGimenez
53
53 kgGil Martinez
56
60 kgUbeto
88
60 kgStrakhov
92
70 kgNardin
95
63.5 kgVdovin
100
62.5 kgRangel
104
63 kgMuñoz
107
64 kgZhupa
120
78 kgMareczko
123
67 kgFonzi
125
63 kgBenfatto
126
71 kg
Weight (KG) →
Result →
78
53
1
126
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GÁLVIZ Carlos Johan | 65 |
| 2 | RODRÍGUEZ Jackson | 58 |
| 6 | GODOY Yonder | 64 |
| 7 | OCHOA Carlos José | 62 |
| 16 | SELLA Emanuele | 54 |
| 25 | MONSALVE Yonathan | 62 |
| 32 | CHACÓN José Isidro | 63 |
| 41 | BUSATO Matteo | 67 |
| 50 | FAVILLI Elia | 61 |
| 53 | GIMENEZ Carlos | 53 |
| 56 | GIL MARTINEZ Tomas Aurelio | 60 |
| 88 | UBETO Miguel Armando | 60 |
| 92 | STRAKHOV Dmitry | 70 |
| 95 | NARDIN Alberto | 63.5 |
| 100 | VDOVIN Sergey | 62.5 |
| 104 | RANGEL Hector Hugo | 63 |
| 107 | MUÑOZ William David | 64 |
| 120 | ZHUPA Eugert | 78 |
| 123 | MARECZKO Jakub | 67 |
| 125 | FONZI Giuseppe | 63 |
| 126 | BENFATTO Marco | 71 |