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 = 33.7 * weight - 1649
This means that on average for every extra kilogram weight a rider loses 33.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ZÜLLE Alex | 72 |
| 3 | ARGENTIN Moreno | 66 |
| 4 | SIMON François | 70 |
| 990 | BAFFI Adriano | 70 |
| 990 | SCIANDRI Maximilian | 75 |
| 990 | BORTOLAMI Gianluca | 73 |
| 990 | LEONI Endrio | 74 |
| 990 | SUNDERLAND Scott | 65 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | CIPOLLINI Mario | 77 |
| 990 | FONTANELLI Fabiano | 68 |
| 990 | DEN BAKKER Maarten | 71 |