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 = 0.7 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
López
2
61 kgVargas
7
69 kgArdila
8
59 kgReyes
11
55 kgOsorio
15
62 kgArroyave
19
68 kgOsorio
21
65 kgDuarte
24
55 kgBustamante
26
65 kgParra
32
51 kgPrado
33
65 kgMuñoz
34
57 kgSanchez
42
55 kgRodas
43
68 kgMcGeough
46
76 kgBrenes
50
66 kgJurado
56
68 kgVélez
61
66 kgGuamá
67
61 kg
2
61 kgVargas
7
69 kgArdila
8
59 kgReyes
11
55 kgOsorio
15
62 kgArroyave
19
68 kgOsorio
21
65 kgDuarte
24
55 kgBustamante
26
65 kgParra
32
51 kgPrado
33
65 kgMuñoz
34
57 kgSanchez
42
55 kgRodas
43
68 kgMcGeough
46
76 kgBrenes
50
66 kgJurado
56
68 kgVélez
61
66 kgGuamá
67
61 kg
Weight (KG) →
Result →
76
51
2
67
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LÓPEZ Robinson Fabián | 61 |
| 7 | VARGAS Walter | 69 |
| 8 | ARDILA Andrés Camilo | 59 |
| 11 | REYES Aldemar | 55 |
| 15 | OSORIO Alejandro | 62 |
| 19 | ARROYAVE Daniel | 68 |
| 21 | OSORIO Juan Felipe | 65 |
| 24 | DUARTE Fabio | 55 |
| 26 | BUSTAMANTE Adrián | 65 |
| 32 | PARRA Heiner Rodrigo | 51 |
| 33 | PRADO Ignacio de Jesús | 65 |
| 34 | MUÑOZ Daniel | 57 |
| 42 | SANCHEZ Mateo | 55 |
| 43 | RODAS Manuel | 68 |
| 46 | MCGEOUGH Cormac | 76 |
| 50 | BRENES Sebastian | 66 |
| 56 | JURADO Christofer Robín | 68 |
| 61 | VÉLEZ Cristian Damián | 66 |
| 67 | GUAMÁ Byron | 61 |