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 = 4.2 * weight - 254
This means that on average for every extra kilogram weight a rider loses 4.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ESCARTÍN Fernando | 61 |
| 2 | OLANO Abraham | 70 |
| 3 | JIMÉNEZ José María | 70 |
| 4 | DIAZ Rafael | 55 |
| 5 | HAMBURGER Bo | 58 |
| 9 | PLAZA David | 68 |
| 10 | LÓPEZ DE MUNAIN Alberto | 65 |
| 11 | PÉREZ RODRÍGUEZ Luis | 67 |
| 12 | ROMINGER Tony | 65 |
| 17 | JULICH Bobby | 68 |
| 140 | ANDREU Frankie | 77 |