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 = 2.2 * weight - 118
This means that on average for every extra kilogram weight a rider loses 2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLY Sean | 77 |
| 7 | WINNEN Peter | 60 |
| 18 | SCHEPERS Eddy | 60 |
| 22 | IMBODEN Heinz | 70 |
| 23 | VANDI Alfio | 64 |
| 25 | CHIAPPUCCI Claudio | 67 |
| 30 | SERGEANT Marc | 76 |
| 31 | BITTINGER René | 69 |
| 49 | DE ROOIJ Theo | 69 |
| 54 | DERNIES Michel | 75 |
| 63 | BAUER Steve | 72 |
| 77 | VANDERAERDEN Eric | 74 |
| 80 | WAMPERS Jean-Marie | 82 |