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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN PETEGEM Peter | 70 |
| 2 | PIZIKS Arvis | 70 |
| 3 | GUIDI Fabrizio | 73 |
| 5 | SØRENSEN Rolf | 70 |
| 6 | MCEWEN Robbie | 67 |
| 7 | STREEL Marc | 69 |
| 8 | RIIS Bjarne | 71 |
| 9 | SKIBBY Jesper | 70 |
| 10 | HAMBURGER Bo | 58 |
| 11 | BLAUDZUN Michael | 66 |
| 12 | ANDREU Frankie | 77 |
| 13 | MICHAELSEN Lars | 79 |
| 15 | DIERCKXSENS Ludo | 71 |
| 16 | SANDSTØD Michael | 74 |