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 = 2.8 * weight - 127
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
Sevilla
2
62 kgUmba
5
58 kgPellaud
6
70 kgMuñoz
18
57 kgVargas
23
69 kgGálviz
24
65 kgCañaveral
25
60 kgLópez
26
55 kgSuaza
37
66 kgGuamá
38
61 kgDuarte
41
55 kgChacón
49
63 kgViloria
64
64 kgTagliani
70
70 kgJurado
87
68 kgRevete
93
62 kgRivera
96
56 kgLonardi
99
70 kgRestrepo
101
73 kgMalucelli
105
68 kgDalla Valle
111
73 kg
2
62 kgUmba
5
58 kgPellaud
6
70 kgMuñoz
18
57 kgVargas
23
69 kgGálviz
24
65 kgCañaveral
25
60 kgLópez
26
55 kgSuaza
37
66 kgGuamá
38
61 kgDuarte
41
55 kgChacón
49
63 kgViloria
64
64 kgTagliani
70
70 kgJurado
87
68 kgRevete
93
62 kgRivera
96
56 kgLonardi
99
70 kgRestrepo
101
73 kgMalucelli
105
68 kgDalla Valle
111
73 kg
Weight (KG) →
Result →
73
55
2
111
# | Rider | Weight (KG) |
---|---|---|
2 | SEVILLA Óscar | 62 |
5 | UMBA Santiago | 58 |
6 | PELLAUD Simon | 70 |
18 | MUÑOZ Daniel | 57 |
23 | VARGAS Walter | 69 |
24 | GÁLVIZ Carlos Johan | 65 |
25 | CAÑAVERAL Johnatan | 60 |
26 | LÓPEZ Harold Martín | 55 |
37 | SUAZA Bernardo | 66 |
38 | GUAMÁ Byron | 61 |
41 | DUARTE Fabio | 55 |
49 | CHACÓN José Isidro | 63 |
64 | VILORIA Enmanuel David | 64 |
70 | TAGLIANI Filippo | 70 |
87 | JURADO Christofer Robín | 68 |
93 | REVETE Brayan | 62 |
96 | RIVERA Kevin | 56 |
99 | LONARDI Giovanni | 70 |
101 | RESTREPO Jhonatan | 73 |
105 | MALUCELLI Matteo | 68 |
111 | DALLA VALLE Nicolas | 73 |