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 = -2.2 * weight + 201
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
Mareczko
1
67 kgBenfatto
2
71 kgUbeto
10
60 kgFavilli
12
61 kgGodoy
15
64 kgRodríguez
25
58 kgStrakhov
26
70 kgZhupa
41
78 kgMonsalve
47
62 kgGálviz
56
65 kgMuñoz
68
64 kgGimenez
69
53 kgChacón
75
63 kgOchoa
88
62 kgSella
93
54 kgGil Martinez
98
60 kgRangel
102
63 kgVdovin
111
62.5 kgBusato
118
67 kgRybalkin
119
60 kgFonzi
120
63 kgNardin
126
63.5 kg
1
67 kgBenfatto
2
71 kgUbeto
10
60 kgFavilli
12
61 kgGodoy
15
64 kgRodríguez
25
58 kgStrakhov
26
70 kgZhupa
41
78 kgMonsalve
47
62 kgGálviz
56
65 kgMuñoz
68
64 kgGimenez
69
53 kgChacón
75
63 kgOchoa
88
62 kgSella
93
54 kgGil Martinez
98
60 kgRangel
102
63 kgVdovin
111
62.5 kgBusato
118
67 kgRybalkin
119
60 kgFonzi
120
63 kgNardin
126
63.5 kg
Weight (KG) →
Result →
78
53
1
126
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | BENFATTO Marco | 71 |
| 10 | UBETO Miguel Armando | 60 |
| 12 | FAVILLI Elia | 61 |
| 15 | GODOY Yonder | 64 |
| 25 | RODRÍGUEZ Jackson | 58 |
| 26 | STRAKHOV Dmitry | 70 |
| 41 | ZHUPA Eugert | 78 |
| 47 | MONSALVE Yonathan | 62 |
| 56 | GÁLVIZ Carlos Johan | 65 |
| 68 | MUÑOZ William David | 64 |
| 69 | GIMENEZ Carlos | 53 |
| 75 | CHACÓN José Isidro | 63 |
| 88 | OCHOA Carlos José | 62 |
| 93 | SELLA Emanuele | 54 |
| 98 | GIL MARTINEZ Tomas Aurelio | 60 |
| 102 | RANGEL Hector Hugo | 63 |
| 111 | VDOVIN Sergey | 62.5 |
| 118 | BUSATO Matteo | 67 |
| 119 | RYBALKIN Aleksey | 60 |
| 120 | FONZI Giuseppe | 63 |
| 126 | NARDIN Alberto | 63.5 |