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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BELLI Wladimir | 64 |
| 4 | IMBODEN Heinz | 70 |
| 7 | ANDREU Frankie | 77 |
| 11 | SVORADA Ján | 76 |
| 14 | BAGUET Serge | 67 |
| 15 | DEN BAKKER Maarten | 71 |
| 16 | TANNER John | 70 |
| 17 | ZAMANA Cezary | 74 |
| 18 | WAUTERS Marc | 73 |
| 19 | YATES Sean | 74 |
| 20 | HAMBURGER Bo | 58 |