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 * weight + 183
This means that on average for every extra kilogram weight a rider loses -2 positions in the result.
Mareczko
1
67 kgUbeto
5
60 kgFavilli
8
61 kgStrakhov
10
70 kgBenfatto
11
71 kgVdovin
20
62.5 kgMuñoz
23
64 kgRodríguez
24
58 kgGodoy
26
64 kgZhupa
40
78 kgGimenez
48
53 kgGálviz
56
65 kgChacón
70
63 kgRybalkin
75
60 kgOchoa
98
62 kgRangel
100
63 kgMonsalve
105
62 kgBusato
106
67 kgNardin
107
63.5 kgSella
121
54 kgFonzi
124
63 kg
1
67 kgUbeto
5
60 kgFavilli
8
61 kgStrakhov
10
70 kgBenfatto
11
71 kgVdovin
20
62.5 kgMuñoz
23
64 kgRodríguez
24
58 kgGodoy
26
64 kgZhupa
40
78 kgGimenez
48
53 kgGálviz
56
65 kgChacón
70
63 kgRybalkin
75
60 kgOchoa
98
62 kgRangel
100
63 kgMonsalve
105
62 kgBusato
106
67 kgNardin
107
63.5 kgSella
121
54 kgFonzi
124
63 kg
Weight (KG) →
Result →
78
53
1
124
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 5 | UBETO Miguel Armando | 60 |
| 8 | FAVILLI Elia | 61 |
| 10 | STRAKHOV Dmitry | 70 |
| 11 | BENFATTO Marco | 71 |
| 20 | VDOVIN Sergey | 62.5 |
| 23 | MUÑOZ William David | 64 |
| 24 | RODRÍGUEZ Jackson | 58 |
| 26 | GODOY Yonder | 64 |
| 40 | ZHUPA Eugert | 78 |
| 48 | GIMENEZ Carlos | 53 |
| 56 | GÁLVIZ Carlos Johan | 65 |
| 70 | CHACÓN José Isidro | 63 |
| 75 | RYBALKIN Aleksey | 60 |
| 98 | OCHOA Carlos José | 62 |
| 100 | RANGEL Hector Hugo | 63 |
| 105 | MONSALVE Yonathan | 62 |
| 106 | BUSATO Matteo | 67 |
| 107 | NARDIN Alberto | 63.5 |
| 121 | SELLA Emanuele | 54 |
| 124 | FONZI Giuseppe | 63 |