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 = -0.6 * weight + 81
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Pinzón
1
62 kgPira
2
59 kgContreras
3
68 kgCamargo
4
65 kgRestrepo
5
73 kgAlba
7
59 kgLópez
19
61 kgZapata
25
62 kgRojas
36
64 kgVélez
44
66 kgMuñoz
45
63 kgSuaza
48
66 kgParra
49
51 kgChaparro
53
54 kgParedes
60
66 kgMcGeough
61
76 kgOsorio
70
65 kgRuiz
73
57 kgArroyave
79
68 kgMendez
83
57 kgOsorio
86
62 kgHenao
87
61 kg
1
62 kgPira
2
59 kgContreras
3
68 kgCamargo
4
65 kgRestrepo
5
73 kgAlba
7
59 kgLópez
19
61 kgZapata
25
62 kgRojas
36
64 kgVélez
44
66 kgMuñoz
45
63 kgSuaza
48
66 kgParra
49
51 kgChaparro
53
54 kgParedes
60
66 kgMcGeough
61
76 kgOsorio
70
65 kgRuiz
73
57 kgArroyave
79
68 kgMendez
83
57 kgOsorio
86
62 kgHenao
87
61 kg
Weight (KG) →
Result →
76
51
1
87
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PINZÓN Edgar Andrés | 62 |
| 2 | PIRA Yesid Albeiro | 59 |
| 3 | CONTRERAS Rodrigo | 68 |
| 4 | CAMARGO Diego Andrés | 65 |
| 5 | RESTREPO Jhonatan | 73 |
| 7 | ALBA Juan Diego | 59 |
| 19 | LÓPEZ Robinson Fabián | 61 |
| 25 | ZAPATA Mauricio | 62 |
| 36 | ROJAS Brandon Alejandro | 64 |
| 44 | VÉLEZ Cristian Damián | 66 |
| 45 | MUÑOZ Cristian Camilo | 63 |
| 48 | SUAZA Bernardo | 66 |
| 49 | PARRA Heiner Rodrigo | 51 |
| 53 | CHAPARRO Didier | 54 |
| 60 | PAREDES Wilmar | 66 |
| 61 | MCGEOUGH Cormac | 76 |
| 70 | OSORIO Juan Felipe | 65 |
| 73 | RUIZ Jeferson Armando | 57 |
| 79 | ARROYAVE Daniel | 68 |
| 83 | MENDEZ Daniel Alejandro | 57 |
| 86 | OSORIO Alejandro | 62 |
| 87 | HENAO Sergio | 61 |