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 - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SEIGNEUR Eddy | 71 |
| 3 | GABRIEL Frédéric | 60 |
| 5 | MENGIN Christophe | 68 |
| 6 | WALTON Brian | 68 |
| 8 | HAYMAN Mathew | 78 |
| 11 | NAZON Damien | 68 |
| 13 | DIERCKXSENS Ludo | 71 |
| 16 | JØRGENSEN René | 60 |
| 21 | BERGÈS Stéphane | 68 |
| 27 | LOTZ Marc | 76 |
| 30 | BÉNÉTEAU Walter | 67 |