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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BÄCKSTEDT Magnus | 94 |
| 3 | AUS Lauri | 75 |
| 4 | PLANCKAERT Jo | 70 |
| 5 | HØJ Frank | 80 |
| 6 | PEERS Chris | 73 |
| 9 | JALABERT Nicolas | 68 |
| 10 | DIERCKXSENS Ludo | 71 |
| 11 | VIRENQUE Richard | 65 |
| 12 | FEYS Wim | 80 |
| 13 | KIRSIPUU Jaan | 80 |
| 14 | TCHMIL Andrei | 75 |
| 15 | MAGNIEN Emmanuel | 68 |
| 16 | SUNDERLAND Scott | 65 |
| 18 | DA CRUZ Carlos | 74 |
| 20 | DE WOLF Steve | 67 |
| 23 | AERTS Mario | 68 |
| 25 | PERQUE Franck | 78 |