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 = -0.3 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Reyes
1
55 kgSevilla
2
62 kgSoto
3
66 kgOchoa
10
61 kgDuarte
11
55 kgPrado
12
65 kgPira
13
59 kgChalapud
14
63 kgBohórquez
19
68 kgJaramillo
23
63 kgSerpa
24
64 kgAguirre
33
55 kgAtapuma
34
59 kgRestrepo
36
58 kgPedraza
42
58 kgBustamante
43
65 kgSuaza
44
66 kgMerchan
48
57 kg
1
55 kgSevilla
2
62 kgSoto
3
66 kgOchoa
10
61 kgDuarte
11
55 kgPrado
12
65 kgPira
13
59 kgChalapud
14
63 kgBohórquez
19
68 kgJaramillo
23
63 kgSerpa
24
64 kgAguirre
33
55 kgAtapuma
34
59 kgRestrepo
36
58 kgPedraza
42
58 kgBustamante
43
65 kgSuaza
44
66 kgMerchan
48
57 kg
Weight (KG) →
Result →
68
55
1
48
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | REYES Aldemar | 55 |
| 2 | SEVILLA Óscar | 62 |
| 3 | SOTO Nelson Andrés | 66 |
| 10 | OCHOA Diego Antonio | 61 |
| 11 | DUARTE Fabio | 55 |
| 12 | PRADO Ignacio de Jesús | 65 |
| 13 | PIRA Yesid Albeiro | 59 |
| 14 | CHALAPUD Robinson | 63 |
| 19 | BOHÓRQUEZ Hernando | 68 |
| 23 | JARAMILLO Daniel | 63 |
| 24 | SERPA José Rodolfo | 64 |
| 33 | AGUIRRE Hernán Ricardo | 55 |
| 34 | ATAPUMA Darwin | 59 |
| 36 | RESTREPO Juan Pablo | 58 |
| 42 | PEDRAZA Wálter Fernando | 58 |
| 43 | BUSTAMANTE Adrián | 65 |
| 44 | SUAZA Bernardo | 66 |
| 48 | MERCHAN Didier | 57 |