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 * weight + 13
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONDRIEST Maurizio | 70 |
| 2 | CASAGRANDE Francesco | 64 |
| 3 | CHIAPPUCCI Claudio | 67 |
| 5 | SKIBBY Jesper | 70 |
| 8 | FONTANELLI Fabiano | 68 |
| 9 | GIANETTI Mauro | 62 |
| 11 | JASKUŁA Zenon | 76 |
| 12 | RIIS Bjarne | 71 |
| 13 | ARROYO Miguel | 59 |
| 14 | RICHARD Pascal | 67 |
| 17 | TAFI Andrea | 73 |
| 23 | VOSKAMP Bart | 75 |
| 24 | UGRUMOV Piotr | 58 |