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 = -2.1 * weight + 141
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
Arroyave
1
68 kgBustamante
5
65 kgPeña
6
56 kgVargas
9
59 kgGarzon
17
62 kgLopez
21
56 kgPira
25
59 kgMerchan
56
57 kg
1
68 kgBustamante
5
65 kgPeña
6
56 kgVargas
9
59 kgGarzon
17
62 kgLopez
21
56 kgPira
25
59 kgMerchan
56
57 kg
Weight (KG) →
Result →
68
56
1
56
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARROYAVE Daniel | 68 |
| 5 | BUSTAMANTE Adrián | 65 |
| 6 | PEÑA Jesús David | 56 |
| 9 | VARGAS Adrian Enrique | 59 |
| 17 | GARZON Marlon David | 62 |
| 21 | LOPEZ Juan Carlos | 56 |
| 25 | PIRA Yesid Albeiro | 59 |
| 56 | MERCHAN Didier | 57 |