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 = 0.1 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | YAKOVLEV Serguei | 70 |
| 3 | EECKHOUT Niko | 73 |
| 5 | CRETSKENS Wilfried | 75 |
| 7 | CAPELLE Ludovic | 75 |
| 8 | HASELBACHER René | 69 |
| 9 | FEYS Wim | 80 |
| 12 | LUDEWIG Jörg | 75 |
| 14 | BEECKMAN Koen | 66 |
| 15 | DETILLOUX Christophe | 62 |
| 17 | PEERS Chris | 73 |
| 19 | KLIER Andreas | 72 |
| 21 | ROESEMS Bert | 81 |
| 22 | CORVERS Frank | 77 |
| 29 | DE GROOTE Thierry | 71 |