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 = -1.5 * weight + 139
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE WOLF Fons | 75 |
| 3 | KELLY Sean | 77 |
| 5 | PLANCKAERT Eddy | 69 |
| 6 | RAAS Jan | 72 |
| 9 | DE WILDE Etienne | 70 |
| 16 | VAN VLIET Leo | 65 |
| 25 | SERGEANT Marc | 76 |
| 30 | DEMOL Dirk | 72 |
| 38 | DE VLAEMINCK Roger | 74 |
| 41 | BOURREAU Bernard | 63 |
| 45 | BERNAUDEAU Jean-René | 64 |
| 46 | HEIRWEG Dirk | 73 |
| 50 | KUIPER Hennie | 69 |
| 54 | HOSTE Frank | 76 |
| 56 | DE ROOIJ Theo | 69 |
| 60 | POLLENTIER Michel | 62 |