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 = 1.4 * weight - 34
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
Malucelli
1
68 kgDalla Valle
3
73 kgLonardi
8
70 kgUmba
13
58 kgCañaveral
14
60 kgLópez
18
55 kgSuaza
20
66 kgGuamá
33
61 kgSevilla
34
62 kgGálviz
48
65 kgMuñoz
53
57 kgDuarte
57
55 kgChacón
73
63 kgRivera
74
56 kgVargas
76
69 kgJurado
85
68 kgTagliani
99
70 kgRevete
109
62 kgViloria
112
64 kgRestrepo
116
73 kgPellaud
117
70 kg
1
68 kgDalla Valle
3
73 kgLonardi
8
70 kgUmba
13
58 kgCañaveral
14
60 kgLópez
18
55 kgSuaza
20
66 kgGuamá
33
61 kgSevilla
34
62 kgGálviz
48
65 kgMuñoz
53
57 kgDuarte
57
55 kgChacón
73
63 kgRivera
74
56 kgVargas
76
69 kgJurado
85
68 kgTagliani
99
70 kgRevete
109
62 kgViloria
112
64 kgRestrepo
116
73 kgPellaud
117
70 kg
Weight (KG) →
Result →
73
55
1
117
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALUCELLI Matteo | 68 |
| 3 | DALLA VALLE Nicolas | 73 |
| 8 | LONARDI Giovanni | 70 |
| 13 | UMBA Santiago | 58 |
| 14 | CAÑAVERAL Johnatan | 60 |
| 18 | LÓPEZ Harold Martín | 55 |
| 20 | SUAZA Bernardo | 66 |
| 33 | GUAMÁ Byron | 61 |
| 34 | SEVILLA Óscar | 62 |
| 48 | GÁLVIZ Carlos Johan | 65 |
| 53 | MUÑOZ Daniel | 57 |
| 57 | DUARTE Fabio | 55 |
| 73 | CHACÓN José Isidro | 63 |
| 74 | RIVERA Kevin | 56 |
| 76 | VARGAS Walter | 69 |
| 85 | JURADO Christofer Robín | 68 |
| 99 | TAGLIANI Filippo | 70 |
| 109 | REVETE Brayan | 62 |
| 112 | VILORIA Enmanuel David | 64 |
| 116 | RESTREPO Jhonatan | 73 |
| 117 | PELLAUD Simon | 70 |