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 = 2.4 * weight - 115
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
Contreras
1
68 kgCamargo
2
65 kgAlba
6
59 kgPira
7
59 kgLópez
8
61 kgZapata
9
62 kgPinzón
14
62 kgMuñoz
22
63 kgParra
24
51 kgChaparro
27
54 kgRojas
29
64 kgOsorio
35
65 kgMendez
36
57 kgSuaza
44
66 kgRuiz
50
57 kgHenao
52
61 kgParedes
65
66 kgArroyave
73
68 kgRestrepo
75
73 kgOsorio
79
62 kgVélez
80
66 kgMcGeough
91
76 kg
1
68 kgCamargo
2
65 kgAlba
6
59 kgPira
7
59 kgLópez
8
61 kgZapata
9
62 kgPinzón
14
62 kgMuñoz
22
63 kgParra
24
51 kgChaparro
27
54 kgRojas
29
64 kgOsorio
35
65 kgMendez
36
57 kgSuaza
44
66 kgRuiz
50
57 kgHenao
52
61 kgParedes
65
66 kgArroyave
73
68 kgRestrepo
75
73 kgOsorio
79
62 kgVélez
80
66 kgMcGeough
91
76 kg
Weight (KG) →
Result →
76
51
1
91
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CONTRERAS Rodrigo | 68 |
| 2 | CAMARGO Diego Andrés | 65 |
| 6 | ALBA Juan Diego | 59 |
| 7 | PIRA Yesid Albeiro | 59 |
| 8 | LÓPEZ Robinson Fabián | 61 |
| 9 | ZAPATA Mauricio | 62 |
| 14 | PINZÓN Edgar Andrés | 62 |
| 22 | MUÑOZ Cristian Camilo | 63 |
| 24 | PARRA Heiner Rodrigo | 51 |
| 27 | CHAPARRO Didier | 54 |
| 29 | ROJAS Brandon Alejandro | 64 |
| 35 | OSORIO Juan Felipe | 65 |
| 36 | MENDEZ Daniel Alejandro | 57 |
| 44 | SUAZA Bernardo | 66 |
| 50 | RUIZ Jeferson Armando | 57 |
| 52 | HENAO Sergio | 61 |
| 65 | PAREDES Wilmar | 66 |
| 73 | ARROYAVE Daniel | 68 |
| 75 | RESTREPO Jhonatan | 73 |
| 79 | OSORIO Alejandro | 62 |
| 80 | VÉLEZ Cristian Damián | 66 |
| 91 | MCGEOUGH Cormac | 76 |