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 = -0.9 * weight + 113
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
Ubeto
3
60 kgFavilli
4
61 kgBenfatto
5
71 kgStrakhov
7
70 kgZhupa
8
78 kgGodoy
12
64 kgRodríguez
20
58 kgVdovin
29
62.5 kgSella
48
54 kgGimenez
52
53 kgGil Martinez
56
60 kgChacón
63
63 kgMonsalve
64
62 kgGálviz
65
65 kgMuñoz
78
64 kgNardin
86
63.5 kgOchoa
94
62 kgRybalkin
97
60 kgRangel
115
63 kgMareczko
120
67 kgFonzi
126
63 kgBusato
127
67 kg
3
60 kgFavilli
4
61 kgBenfatto
5
71 kgStrakhov
7
70 kgZhupa
8
78 kgGodoy
12
64 kgRodríguez
20
58 kgVdovin
29
62.5 kgSella
48
54 kgGimenez
52
53 kgGil Martinez
56
60 kgChacón
63
63 kgMonsalve
64
62 kgGálviz
65
65 kgMuñoz
78
64 kgNardin
86
63.5 kgOchoa
94
62 kgRybalkin
97
60 kgRangel
115
63 kgMareczko
120
67 kgFonzi
126
63 kgBusato
127
67 kg
Weight (KG) →
Result →
78
53
3
127
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | UBETO Miguel Armando | 60 |
| 4 | FAVILLI Elia | 61 |
| 5 | BENFATTO Marco | 71 |
| 7 | STRAKHOV Dmitry | 70 |
| 8 | ZHUPA Eugert | 78 |
| 12 | GODOY Yonder | 64 |
| 20 | RODRÍGUEZ Jackson | 58 |
| 29 | VDOVIN Sergey | 62.5 |
| 48 | SELLA Emanuele | 54 |
| 52 | GIMENEZ Carlos | 53 |
| 56 | GIL MARTINEZ Tomas Aurelio | 60 |
| 63 | CHACÓN José Isidro | 63 |
| 64 | MONSALVE Yonathan | 62 |
| 65 | GÁLVIZ Carlos Johan | 65 |
| 78 | MUÑOZ William David | 64 |
| 86 | NARDIN Alberto | 63.5 |
| 94 | OCHOA Carlos José | 62 |
| 97 | RYBALKIN Aleksey | 60 |
| 115 | RANGEL Hector Hugo | 63 |
| 120 | MARECZKO Jakub | 67 |
| 126 | FONZI Giuseppe | 63 |
| 127 | BUSATO Matteo | 67 |