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 = 1.8 * weight - 87
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KELLY Sean | 77 |
| 2 | ROCHE Stephen | 74 |
| 3 | HINAULT Bernard | 62 |
| 25 | PLANCKAERT Eddy | 69 |
| 38 | SERGEANT Marc | 76 |
| 42 | BITTINGER René | 69 |
| 49 | JOURDAN Christian | 64 |
| 53 | WAMPERS Jean-Marie | 82 |
| 55 | SCHÜR Fritz | 74 |
| 63 | VANDERAERDEN Eric | 74 |
| 69 | HOSTE Frank | 76 |
| 73 | DE WOLF Fons | 75 |
| 74 | KLEINE Piet | 86 |