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 - 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MCEWEN Robbie | 67 |
| 2 | EECKHOUT Niko | 73 |
| 3 | VERHEYEN Geert | 68 |
| 5 | NAZON Damien | 68 |
| 6 | MÜLLER Martin | 79 |
| 7 | HINAULT Sébastien | 63 |
| 11 | JALABERT Nicolas | 68 |
| 12 | FEYS Wim | 80 |
| 14 | JOHNSEN Lars Kristian | 70 |
| 16 | MAGNIEN Emmanuel | 68 |
| 17 | GUESDON Frédéric | 73 |
| 20 | BARRY Michael | 72 |