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 = 3 * weight - 132
This means that on average for every extra kilogram weight a rider loses 3 positions in the result.
Sevilla
3
62 kgVargas
9
69 kgMuñoz
12
57 kgLópez
14
55 kgGálviz
17
65 kgUmba
19
58 kgCañaveral
42
60 kgGuamá
44
61 kgChacón
61
63 kgRestrepo
64
73 kgPellaud
65
70 kgViloria
68
64 kgDuarte
71
55 kgRivera
78
56 kgSuaza
80
66 kgJurado
90
68 kgMalucelli
92
68 kgTagliani
95
70 kgRevete
98
62 kgDalla Valle
116
73 kgLonardi
117
70 kg
3
62 kgVargas
9
69 kgMuñoz
12
57 kgLópez
14
55 kgGálviz
17
65 kgUmba
19
58 kgCañaveral
42
60 kgGuamá
44
61 kgChacón
61
63 kgRestrepo
64
73 kgPellaud
65
70 kgViloria
68
64 kgDuarte
71
55 kgRivera
78
56 kgSuaza
80
66 kgJurado
90
68 kgMalucelli
92
68 kgTagliani
95
70 kgRevete
98
62 kgDalla Valle
116
73 kgLonardi
117
70 kg
Weight (KG) →
Result →
73
55
3
117
# | Rider | Weight (KG) |
---|---|---|
3 | SEVILLA Óscar | 62 |
9 | VARGAS Walter | 69 |
12 | MUÑOZ Daniel | 57 |
14 | LÓPEZ Harold Martín | 55 |
17 | GÁLVIZ Carlos Johan | 65 |
19 | UMBA Santiago | 58 |
42 | CAÑAVERAL Johnatan | 60 |
44 | GUAMÁ Byron | 61 |
61 | CHACÓN José Isidro | 63 |
64 | RESTREPO Jhonatan | 73 |
65 | PELLAUD Simon | 70 |
68 | VILORIA Enmanuel David | 64 |
71 | DUARTE Fabio | 55 |
78 | RIVERA Kevin | 56 |
80 | SUAZA Bernardo | 66 |
90 | JURADO Christofer Robín | 68 |
92 | MALUCELLI Matteo | 68 |
95 | TAGLIANI Filippo | 70 |
98 | REVETE Brayan | 62 |
116 | DALLA VALLE Nicolas | 73 |
117 | LONARDI Giovanni | 70 |