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 + 70
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Soto
1
66 kgRubiano
2
58 kgSerpa
3
64 kgOchoa
9
61 kgCaicedo
16
62 kgÁvila
18
61 kgSoliz
19
58 kgParedes
20
66 kgLaverde
23
63 kgParedes
26
63 kgContreras
29
68 kgVillegas
31
73 kgSevilla
34
62 kgQuintero
35
63 kgCanuti
37
68 kgVargas
43
69 kgPellaud
47
70 kgParra
50
51 kgHiguita
51
57 kgLópez
54
61 kgMuñoz
60
64 kgArdila
61
58 kgSarmiento
63
58 kg
1
66 kgRubiano
2
58 kgSerpa
3
64 kgOchoa
9
61 kgCaicedo
16
62 kgÁvila
18
61 kgSoliz
19
58 kgParedes
20
66 kgLaverde
23
63 kgParedes
26
63 kgContreras
29
68 kgVillegas
31
73 kgSevilla
34
62 kgQuintero
35
63 kgCanuti
37
68 kgVargas
43
69 kgPellaud
47
70 kgParra
50
51 kgHiguita
51
57 kgLópez
54
61 kgMuñoz
60
64 kgArdila
61
58 kgSarmiento
63
58 kg
Weight (KG) →
Result →
73
51
1
63
# | Rider | Weight (KG) |
---|---|---|
1 | SOTO Nelson Andrés | 66 |
2 | RUBIANO Miguel Angel | 58 |
3 | SERPA José Rodolfo | 64 |
9 | OCHOA Diego Antonio | 61 |
16 | CAICEDO Jonathan Klever | 62 |
18 | ÁVILA Edwin | 61 |
19 | SOLIZ Óscar | 58 |
20 | PAREDES Wilmar | 66 |
23 | LAVERDE Luis Felipe | 63 |
26 | PAREDES Jonathan | 63 |
29 | CONTRERAS Rodrigo | 68 |
31 | VILLEGAS Juan Pablo | 73 |
34 | SEVILLA Óscar | 62 |
35 | QUINTERO Carlos | 63 |
37 | CANUTI Federico | 68 |
43 | VARGAS Walter | 69 |
47 | PELLAUD Simon | 70 |
50 | PARRA Heiner Rodrigo | 51 |
51 | HIGUITA Sergio | 57 |
54 | LÓPEZ Robinson Fabián | 61 |
60 | MUÑOZ William David | 64 |
61 | ARDILA Mauricio Alberto | 58 |
63 | SARMIENTO Cayetano José | 58 |