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 = -0.1 * weight + 37
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rubiano
1
58 kgSerpa
4
64 kgOchoa
9
61 kgSoto
10
66 kgCaicedo
11
62 kgÁvila
12
61 kgSoliz
13
58 kgParedes
15
66 kgLaverde
20
63 kgParedes
24
63 kgVillegas
26
73 kgSevilla
30
62 kgQuintero
31
63 kgCanuti
33
68 kgVargas
38
69 kgContreras
42
68 kgPellaud
43
70 kgParra
46
51 kgHiguita
47
57 kgLópez
51
61 kgMuñoz
55
64 kgArdila
56
58 kg
1
58 kgSerpa
4
64 kgOchoa
9
61 kgSoto
10
66 kgCaicedo
11
62 kgÁvila
12
61 kgSoliz
13
58 kgParedes
15
66 kgLaverde
20
63 kgParedes
24
63 kgVillegas
26
73 kgSevilla
30
62 kgQuintero
31
63 kgCanuti
33
68 kgVargas
38
69 kgContreras
42
68 kgPellaud
43
70 kgParra
46
51 kgHiguita
47
57 kgLópez
51
61 kgMuñoz
55
64 kgArdila
56
58 kg
Weight (KG) →
Result →
73
51
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUBIANO Miguel Angel | 58 |
| 4 | SERPA José Rodolfo | 64 |
| 9 | OCHOA Diego Antonio | 61 |
| 10 | SOTO Nelson Andrés | 66 |
| 11 | CAICEDO Jonathan Klever | 62 |
| 12 | ÁVILA Edwin | 61 |
| 13 | SOLIZ Óscar | 58 |
| 15 | PAREDES Wilmar | 66 |
| 20 | LAVERDE Luis Felipe | 63 |
| 24 | PAREDES Jonathan | 63 |
| 26 | VILLEGAS Juan Pablo | 73 |
| 30 | SEVILLA Óscar | 62 |
| 31 | QUINTERO Carlos | 63 |
| 33 | CANUTI Federico | 68 |
| 38 | VARGAS Walter | 69 |
| 42 | CONTRERAS Rodrigo | 68 |
| 43 | PELLAUD Simon | 70 |
| 46 | PARRA Heiner Rodrigo | 51 |
| 47 | HIGUITA Sergio | 57 |
| 51 | LÓPEZ Robinson Fabián | 61 |
| 55 | MUÑOZ William David | 64 |
| 56 | ARDILA Mauricio Alberto | 58 |