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 = -1.5 * weight + 141
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
Sevilla
4
62 kgVargas
5
69 kgParra
6
62 kgLaverde
9
63 kgSuaza
16
66 kgChalapud
19
63 kgPeña
21
65 kgBohórquez
22
68 kgRaabe
23
71 kgOspina
24
62 kgMuñoz
29
57 kgParedes
31
66 kgArdila
36
58 kgAguirre
43
55 kgOsorio
50
65 kgFlórez
51
57 kgReyes
53
55 kgSandoval
60
64 kgRomero
76
55 kgPérez
103
68 kgParrinello
113
68 kgOchoa
119
61 kgYustre
147
58 kg
4
62 kgVargas
5
69 kgParra
6
62 kgLaverde
9
63 kgSuaza
16
66 kgChalapud
19
63 kgPeña
21
65 kgBohórquez
22
68 kgRaabe
23
71 kgOspina
24
62 kgMuñoz
29
57 kgParedes
31
66 kgArdila
36
58 kgAguirre
43
55 kgOsorio
50
65 kgFlórez
51
57 kgReyes
53
55 kgSandoval
60
64 kgRomero
76
55 kgPérez
103
68 kgParrinello
113
68 kgOchoa
119
61 kgYustre
147
58 kg
Weight (KG) →
Result →
71
55
4
147
# | Rider | Weight (KG) |
---|---|---|
4 | SEVILLA Óscar | 62 |
5 | VARGAS Walter | 69 |
6 | PARRA Iván Ramiro | 62 |
9 | LAVERDE Luis Felipe | 63 |
16 | SUAZA Bernardo | 66 |
19 | CHALAPUD Robinson | 63 |
21 | PEÑA Victor Hugo | 65 |
22 | BOHÓRQUEZ Hernando | 68 |
23 | RAABE Henry | 71 |
24 | OSPINA Dalivier | 62 |
29 | MUÑOZ Daniel | 57 |
31 | PAREDES Wilmar | 66 |
36 | ARDILA Mauricio Alberto | 58 |
43 | AGUIRRE Hernán Ricardo | 55 |
50 | OSORIO Juan Felipe | 65 |
51 | FLÓREZ Miguel Eduardo | 57 |
53 | REYES Aldemar | 55 |
60 | SANDOVAL Edwin Alexander | 64 |
76 | ROMERO Jeffry | 55 |
103 | PÉREZ Marlon Alirio | 68 |
113 | PARRINELLO Antonino | 68 |
119 | OCHOA Diego Antonio | 61 |
147 | YUSTRE Kristian Javier | 58 |