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 = 3.1 * weight - 147
This means that on average for every extra kilogram weight a rider loses 3.1 positions in the result.
Sevilla
1
62 kgVargas
3
69 kgGálviz
6
65 kgMuñoz
8
57 kgUmba
11
58 kgLópez
14
55 kgCañaveral
36
60 kgGuamá
40
61 kgChacón
49
63 kgDuarte
51
55 kgSuaza
56
66 kgPellaud
67
70 kgRivera
72
56 kgGuevara
74
68 kgJurado
78
68 kgTagliani
82
70 kgRestrepo
84
73 kgViloria
85
64 kgMalucelli
90
68 kgLonardi
97
70 kgDalla Valle
103
73 kgRevete
105
62 kg
1
62 kgVargas
3
69 kgGálviz
6
65 kgMuñoz
8
57 kgUmba
11
58 kgLópez
14
55 kgCañaveral
36
60 kgGuamá
40
61 kgChacón
49
63 kgDuarte
51
55 kgSuaza
56
66 kgPellaud
67
70 kgRivera
72
56 kgGuevara
74
68 kgJurado
78
68 kgTagliani
82
70 kgRestrepo
84
73 kgViloria
85
64 kgMalucelli
90
68 kgLonardi
97
70 kgDalla Valle
103
73 kgRevete
105
62 kg
Weight (KG) →
Result →
73
55
1
105
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEVILLA Óscar | 62 |
| 3 | VARGAS Walter | 69 |
| 6 | GÁLVIZ Carlos Johan | 65 |
| 8 | MUÑOZ Daniel | 57 |
| 11 | UMBA Santiago | 58 |
| 14 | LÓPEZ Harold Martín | 55 |
| 36 | CAÑAVERAL Johnatan | 60 |
| 40 | GUAMÁ Byron | 61 |
| 49 | CHACÓN José Isidro | 63 |
| 51 | DUARTE Fabio | 55 |
| 56 | SUAZA Bernardo | 66 |
| 67 | PELLAUD Simon | 70 |
| 72 | RIVERA Kevin | 56 |
| 74 | GUEVARA Gregory | 68 |
| 78 | JURADO Christofer Robín | 68 |
| 82 | TAGLIANI Filippo | 70 |
| 84 | RESTREPO Jhonatan | 73 |
| 85 | VILORIA Enmanuel David | 64 |
| 90 | MALUCELLI Matteo | 68 |
| 97 | LONARDI Giovanni | 70 |
| 103 | DALLA VALLE Nicolas | 73 |
| 105 | REVETE Brayan | 62 |