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 = 2.6 * weight - 114
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
Camargo
1
65 kgContreras
3
68 kgAlba
4
59 kgPira
8
59 kgZapata
12
62 kgParra
15
51 kgLópez
17
61 kgPinzón
20
62 kgChaparro
25
54 kgMuñoz
28
63 kgOsorio
37
65 kgSuaza
45
66 kgRojas
56
64 kgMendez
61
57 kgHenao
63
61 kgRestrepo
80
73 kgRuiz
87
57 kgVélez
88
66 kgOsorio
89
62 kgMcGeough
90
76 kgArroyave
91
68 kgParedes
98
66 kgPrado
105
65 kg
1
65 kgContreras
3
68 kgAlba
4
59 kgPira
8
59 kgZapata
12
62 kgParra
15
51 kgLópez
17
61 kgPinzón
20
62 kgChaparro
25
54 kgMuñoz
28
63 kgOsorio
37
65 kgSuaza
45
66 kgRojas
56
64 kgMendez
61
57 kgHenao
63
61 kgRestrepo
80
73 kgRuiz
87
57 kgVélez
88
66 kgOsorio
89
62 kgMcGeough
90
76 kgArroyave
91
68 kgParedes
98
66 kgPrado
105
65 kg
Weight (KG) →
Result →
76
51
1
105
# | Rider | Weight (KG) |
---|---|---|
1 | CAMARGO Diego Andrés | 65 |
3 | CONTRERAS Rodrigo | 68 |
4 | ALBA Juan Diego | 59 |
8 | PIRA Yesid Albeiro | 59 |
12 | ZAPATA Mauricio | 62 |
15 | PARRA Heiner Rodrigo | 51 |
17 | LÓPEZ Robinson Fabián | 61 |
20 | PINZÓN Edgar Andrés | 62 |
25 | CHAPARRO Didier | 54 |
28 | MUÑOZ Cristian Camilo | 63 |
37 | OSORIO Juan Felipe | 65 |
45 | SUAZA Bernardo | 66 |
56 | ROJAS Brandon Alejandro | 64 |
61 | MENDEZ Daniel Alejandro | 57 |
63 | HENAO Sergio | 61 |
80 | RESTREPO Jhonatan | 73 |
87 | RUIZ Jeferson Armando | 57 |
88 | VÉLEZ Cristian Damián | 66 |
89 | OSORIO Alejandro | 62 |
90 | MCGEOUGH Cormac | 76 |
91 | ARROYAVE Daniel | 68 |
98 | PAREDES Wilmar | 66 |
105 | PRADO Ignacio de Jesús | 65 |