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 = 2.7 * weight - 136
This means that on average for every extra kilogram weight a rider loses 2.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WINNEN Peter | 60 |
| 16 | HODGE Stephen | 74 |
| 19 | VANDI Alfio | 64 |
| 27 | NEVENS Jan | 58 |
| 28 | GIANETTI Mauro | 62 |
| 37 | IMBODEN Heinz | 70 |
| 40 | DELGADO Pedro | 64 |
| 54 | SERGEANT Marc | 76 |
| 60 | ROMINGER Tony | 65 |
| 65 | RUÉ Gérard | 74 |
| 78 | BAFFI Adriano | 70 |
| 80 | JÄRMANN Rolf | 73 |
| 84 | DERNIES Michel | 75 |