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 = 1.8 * weight - 60
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Pellaud
2
70 kgSevilla
8
62 kgUmba
11
58 kgMuñoz
13
57 kgGálviz
28
65 kgCañaveral
40
60 kgSuaza
41
66 kgRivera
50
56 kgVargas
51
69 kgDuarte
60
55 kgChacón
64
63 kgLonardi
70
70 kgRestrepo
72
73 kgDalla Valle
76
73 kgTagliani
85
70 kgMalucelli
97
68 kgRevete
100
62 kgViloria
106
64 kg
2
70 kgSevilla
8
62 kgUmba
11
58 kgMuñoz
13
57 kgGálviz
28
65 kgCañaveral
40
60 kgSuaza
41
66 kgRivera
50
56 kgVargas
51
69 kgDuarte
60
55 kgChacón
64
63 kgLonardi
70
70 kgRestrepo
72
73 kgDalla Valle
76
73 kgTagliani
85
70 kgMalucelli
97
68 kgRevete
100
62 kgViloria
106
64 kg
Weight (KG) →
Result →
73
55
2
106
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PELLAUD Simon | 70 |
| 8 | SEVILLA Óscar | 62 |
| 11 | UMBA Santiago | 58 |
| 13 | MUÑOZ Daniel | 57 |
| 28 | GÁLVIZ Carlos Johan | 65 |
| 40 | CAÑAVERAL Johnatan | 60 |
| 41 | SUAZA Bernardo | 66 |
| 50 | RIVERA Kevin | 56 |
| 51 | VARGAS Walter | 69 |
| 60 | DUARTE Fabio | 55 |
| 64 | CHACÓN José Isidro | 63 |
| 70 | LONARDI Giovanni | 70 |
| 72 | RESTREPO Jhonatan | 73 |
| 76 | DALLA VALLE Nicolas | 73 |
| 85 | TAGLIANI Filippo | 70 |
| 97 | MALUCELLI Matteo | 68 |
| 100 | REVETE Brayan | 62 |
| 106 | VILORIA Enmanuel David | 64 |