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 = 5.6 * weight - 280
This means that on average for every extra kilogram weight a rider loses 5.6 positions in the result.
Laverde
7
63 kgSevilla
11
62 kgAguirre
12
55 kgSuaza
20
66 kgReyes
21
55 kgChalapud
23
63 kgFlórez
25
57 kgOspina
26
62 kgRomero
36
55 kgParra
41
62 kgMuñoz
44
57 kgOsorio
63
65 kgBohórquez
66
68 kgArdila
78
58 kgSandoval
97
64 kgPeña
101
65 kgOchoa
104
61 kgYustre
115
58 kgRaabe
116
71 kgParrinello
132
68 kgVargas
136
69 kgPérez
137
68 kgParedes
150
66 kg
7
63 kgSevilla
11
62 kgAguirre
12
55 kgSuaza
20
66 kgReyes
21
55 kgChalapud
23
63 kgFlórez
25
57 kgOspina
26
62 kgRomero
36
55 kgParra
41
62 kgMuñoz
44
57 kgOsorio
63
65 kgBohórquez
66
68 kgArdila
78
58 kgSandoval
97
64 kgPeña
101
65 kgOchoa
104
61 kgYustre
115
58 kgRaabe
116
71 kgParrinello
132
68 kgVargas
136
69 kgPérez
137
68 kgParedes
150
66 kg
Weight (KG) →
Result →
71
55
7
150
# | Rider | Weight (KG) |
---|---|---|
7 | LAVERDE Luis Felipe | 63 |
11 | SEVILLA Óscar | 62 |
12 | AGUIRRE Hernán Ricardo | 55 |
20 | SUAZA Bernardo | 66 |
21 | REYES Aldemar | 55 |
23 | CHALAPUD Robinson | 63 |
25 | FLÓREZ Miguel Eduardo | 57 |
26 | OSPINA Dalivier | 62 |
36 | ROMERO Jeffry | 55 |
41 | PARRA Iván Ramiro | 62 |
44 | MUÑOZ Daniel | 57 |
63 | OSORIO Juan Felipe | 65 |
66 | BOHÓRQUEZ Hernando | 68 |
78 | ARDILA Mauricio Alberto | 58 |
97 | SANDOVAL Edwin Alexander | 64 |
101 | PEÑA Victor Hugo | 65 |
104 | OCHOA Diego Antonio | 61 |
115 | YUSTRE Kristian Javier | 58 |
116 | RAABE Henry | 71 |
132 | PARRINELLO Antonino | 68 |
136 | VARGAS Walter | 69 |
137 | PÉREZ Marlon Alirio | 68 |
150 | PAREDES Wilmar | 66 |