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 - 91
This means that on average for every extra kilogram weight a rider loses 2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TEJADA Harold | 63 |
| 2 | GARCÍA Jhojan | 55 |
| 3 | ORDOÑEZ Santiago | 67 |
| 5 | ALBA Juan Diego | 59 |
| 8 | BUITRAGO Santiago | 59 |
| 10 | GARZON Marlon David | 62 |
| 11 | ARROYAVE Daniel | 68 |
| 15 | VARGAS Adrian Enrique | 59 |
| 24 | SÁENZ Nicolás | 51 |
| 29 | MERCHAN Didier | 57 |
| 34 | PEÑA Jesús David | 56 |
| 52 | MONTOYA Javier Ignacio | 64 |
| 54 | BUSTAMANTE Adrián | 65 |
| 62 | ROA Jhon Erik | 60 |
| 92 | CAMARGO Diego Andrés | 65 |
| 93 | AMADOR Juan José | 63 |
| 105 | GOMEZ Nicolas David | 64 |