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 = -1.6 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GLAUS Gilbert | 67 |
| 3 | DE WILDE Etienne | 70 |
| 8 | DUCLOS-LASSALLE Gilbert | 73 |
| 27 | GAYANT Martial | 69 |
| 33 | BITTINGER René | 69 |
| 40 | ROCHE Stephen | 74 |
| 42 | YATES Sean | 74 |
| 59 | NILSSON Sven-Åke | 63 |
| 67 | WINNEN Peter | 60 |
| 79 | DEMOL Dirk | 72 |