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 = -0.2 * weight + 70
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Ubeto
2
60 kgFavilli
3
61 kgZhupa
6
78 kgRodríguez
7
58 kgStrakhov
12
70 kgGodoy
18
64 kgRangel
20
63 kgSella
44
54 kgGil Martinez
52
60 kgGimenez
56
53 kgGálviz
59
65 kgNardin
61
63.5 kgTedeschi
69
69 kgBenfatto
74
71 kgBusato
75
67 kgOchoa
76
62 kgChacón
87
63 kgMuñoz
93
64 kgVdovin
95
62.5 kgMonsalve
99
62 kgRybalkin
105
60 kgFonzi
122
63 kgMareczko
125
67 kg
2
60 kgFavilli
3
61 kgZhupa
6
78 kgRodríguez
7
58 kgStrakhov
12
70 kgGodoy
18
64 kgRangel
20
63 kgSella
44
54 kgGil Martinez
52
60 kgGimenez
56
53 kgGálviz
59
65 kgNardin
61
63.5 kgTedeschi
69
69 kgBenfatto
74
71 kgBusato
75
67 kgOchoa
76
62 kgChacón
87
63 kgMuñoz
93
64 kgVdovin
95
62.5 kgMonsalve
99
62 kgRybalkin
105
60 kgFonzi
122
63 kgMareczko
125
67 kg
Weight (KG) →
Result →
78
53
2
125
# | Rider | Weight (KG) |
---|---|---|
2 | UBETO Miguel Armando | 60 |
3 | FAVILLI Elia | 61 |
6 | ZHUPA Eugert | 78 |
7 | RODRÍGUEZ Jackson | 58 |
12 | STRAKHOV Dmitry | 70 |
18 | GODOY Yonder | 64 |
20 | RANGEL Hector Hugo | 63 |
44 | SELLA Emanuele | 54 |
52 | GIL MARTINEZ Tomas Aurelio | 60 |
56 | GIMENEZ Carlos | 53 |
59 | GÁLVIZ Carlos Johan | 65 |
61 | NARDIN Alberto | 63.5 |
69 | TEDESCHI Mirko | 69 |
74 | BENFATTO Marco | 71 |
75 | BUSATO Matteo | 67 |
76 | OCHOA Carlos José | 62 |
87 | CHACÓN José Isidro | 63 |
93 | MUÑOZ William David | 64 |
95 | VDOVIN Sergey | 62.5 |
99 | MONSALVE Yonathan | 62 |
105 | RYBALKIN Aleksey | 60 |
122 | FONZI Giuseppe | 63 |
125 | MARECZKO Jakub | 67 |