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 = 0.6 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRONK Matthé | 73 |
| 2 | ŁUKASZEWICZ Czesław | 63 |
| 3 | NAZON Jean-Patrick | 74 |
| 4 | NAZON Damien | 68 |
| 6 | ZANOTTI Marco | 70 |
| 11 | CRETSKENS Wilfried | 75 |
| 13 | GABRIEL Frédéric | 60 |
| 16 | SIVAKOV Alexei | 72 |
| 19 | VINOKOUROV Alexandre | 68 |
| 20 | SANDSTØD Michael | 74 |
| 21 | HOSTE Leif | 80 |
| 23 | JOACHIM Benoît | 82 |