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 + 15
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | GALLOPIN Tony | 69 |
| 5 | DECLERCQ Tim | 78 |
| 8 | DOCKX Gert | 64 |
| 12 | NAULEAU Bryan | 67 |
| 13 | REZA Kévin | 71 |
| 18 | HARDY Romain | 62 |
| 20 | BERTRAND Jonathan | 65 |
| 28 | DELAPLACE Anthony | 65 |
| 31 | COURTEILLE Arnaud | 62 |
| 40 | HALLEGUEN Mathieu | 67 |
| 61 | JANSSENS Jimmy | 74 |