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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PLANCKAERT Eddy | 69 |
| 1 | VANDERAERDEN Eric | 74 |
| 2 | YATES Sean | 74 |
| 4 | KELLY Sean | 77 |
| 4 | BITTINGER René | 69 |
| 5 | SERGEANT Marc | 76 |
| 5 | HOSTE Frank | 76 |
| 5 | DE WOLF Fons | 75 |
| 6 | ROCHE Stephen | 74 |
| 7 | WAMPERS Jean-Marie | 82 |
| 8 | HINAULT Bernard | 62 |
| 8 | JOURDAN Christian | 64 |
| 10 | KLEINE Piet | 86 |
| 10 | SCHÜR Fritz | 74 |