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 = 0.2 * weight + 22
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KELLY Sean | 77 |
| 17 | VANDI Alfio | 64 |
| 19 | DE ROOIJ Theo | 69 |
| 23 | GAVAZZI Pierino | 67 |
| 25 | SCHEPERS Eddy | 60 |
| 31 | DERNIES Michel | 75 |
| 39 | DE WOLF Fons | 75 |
| 44 | HOSTE Frank | 76 |
| 48 | VANDERAERDEN Eric | 74 |
| 49 | PLANCKAERT Eddy | 69 |
| 50 | DEMIERRE Serge | 70 |
| 51 | BITTINGER René | 69 |
| 55 | GLAUS Gilbert | 67 |