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 = -1.3 * weight + 137
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Restrepo
2
73 kgUmba
3
58 kgSevilla
4
62 kgMuñoz
10
57 kgPellaud
19
70 kgChacón
20
63 kgGálviz
24
65 kgCañaveral
27
60 kgVargas
44
69 kgLonardi
55
70 kgTagliani
56
70 kgViloria
58
64 kgDalla Valle
71
73 kgMalucelli
74
68 kgSuaza
79
66 kgLópez
82
55 kgJurado
87
68 kgRevete
102
62 kgRivera
116
56 kgDuarte
117
55 kg
2
73 kgUmba
3
58 kgSevilla
4
62 kgMuñoz
10
57 kgPellaud
19
70 kgChacón
20
63 kgGálviz
24
65 kgCañaveral
27
60 kgVargas
44
69 kgLonardi
55
70 kgTagliani
56
70 kgViloria
58
64 kgDalla Valle
71
73 kgMalucelli
74
68 kgSuaza
79
66 kgLópez
82
55 kgJurado
87
68 kgRevete
102
62 kgRivera
116
56 kgDuarte
117
55 kg
Weight (KG) →
Result →
73
55
2
117
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RESTREPO Jhonatan | 73 |
| 3 | UMBA Santiago | 58 |
| 4 | SEVILLA Óscar | 62 |
| 10 | MUÑOZ Daniel | 57 |
| 19 | PELLAUD Simon | 70 |
| 20 | CHACÓN José Isidro | 63 |
| 24 | GÁLVIZ Carlos Johan | 65 |
| 27 | CAÑAVERAL Johnatan | 60 |
| 44 | VARGAS Walter | 69 |
| 55 | LONARDI Giovanni | 70 |
| 56 | TAGLIANI Filippo | 70 |
| 58 | VILORIA Enmanuel David | 64 |
| 71 | DALLA VALLE Nicolas | 73 |
| 74 | MALUCELLI Matteo | 68 |
| 79 | SUAZA Bernardo | 66 |
| 82 | LÓPEZ Harold Martín | 55 |
| 87 | JURADO Christofer Robín | 68 |
| 102 | REVETE Brayan | 62 |
| 116 | RIVERA Kevin | 56 |
| 117 | DUARTE Fabio | 55 |