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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARLE Florent | 72 |
| 2 | KELDERMAN Wilco | 65 |
| 3 | BRUN Frederic | 73 |
| 5 | LAENGEN Vegard Stake | 79 |
| 7 | COPPEL Jérôme | 64 |
| 9 | SCHWAB Hubert | 65 |
| 11 | EDET Nicolas | 60 |
| 13 | ALBERT Niels | 73 |
| 15 | PFINGSTEN Christoph | 69 |
| 17 | JEANDESBOZ Fabrice | 69 |
| 18 | SERRY Pieter | 66 |
| 20 | BENNETT George | 58 |
| 24 | CALLEEUW Joeri | 71 |
| 25 | WALSLEBEN Philipp | 66 |
| 26 | JARRIER Benoît | 69 |