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 = 0.3 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HABEAUX Grégory | 68 |
| 2 | WALLAYS Jelle | 77 |
| 3 | PREMONT Christophe | 69 |
| 4 | SLIK Ivar | 71 |
| 5 | VANOVERBERGHE Arthur | 65 |
| 8 | LABORIE Christophe | 67 |
| 9 | PETIT Adrien | 80 |
| 10 | ANTONINI Simone | 75 |
| 11 | VAN LERBERGHE Bert | 83 |
| 12 | KRIEGER Alexander | 71 |
| 13 | PARDINI Olivier | 68 |
| 14 | ROELANDTS Jürgen | 78 |
| 15 | HOLLENSTEIN Reto | 80 |
| 16 | BAUGNIES Jérôme | 69 |
| 17 | BRÄNDLE Matthias | 80 |
| 19 | ISTA Kevyn | 70 |