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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PAGLIARINI Luciano André | 68 |
| 3 | NAZON Jean-Patrick | 74 |
| 5 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 6 | CAPELLE Christophe | 73 |
| 8 | NAZON Damien | 68 |
| 10 | TRENTI Guido | 68 |
| 12 | CASPER Jimmy | 69 |
| 13 | LODDO Alberto | 60 |
| 15 | CRETSKENS Wilfried | 75 |
| 16 | BÄCKSTEDT Magnus | 94 |
| 17 | LÖWIK Gerben | 72 |
| 20 | MENGIN Christophe | 68 |
| 21 | JALABERT Laurent | 66 |
| 22 | SCHUMACHER Stefan | 71 |