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 + 23
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN POPPEL Danny | 82 |
| 2 | DRUCKER Jempy | 75 |
| 3 | MEERSMAN Gianni | 63 |
| 4 | WIPPERT Wouter | 75 |
| 5 | VON HOFF Steele | 70 |
| 6 | ROJAS José Joaquín | 70 |
| 7 | HAAS Nathan | 71 |
| 8 | VANSPEYBROUCK Pieter | 76 |
| 9 | MEZGEC Luka | 72 |
| 10 | WAEYTENS Zico | 67 |
| 11 | GROSU Eduard-Michael | 68 |
| 12 | COLLI Daniele | 73 |
| 13 | VAN LERBERGHE Bert | 83 |
| 14 | TSATEVICH Alexey | 64 |
| 15 | WYSS Danilo | 65 |