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 * weight + 12
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GARDEYN Gorik | 75 |
| 3 | VAITKUS Tomas | 75 |
| 4 | COENEN Johan | 67 |
| 5 | BARBÉ Koen | 75 |
| 6 | STAMSNIJDER Tom | 76 |
| 8 | STREEL Marc | 69 |
| 11 | STEEGMANS Gert | 82 |
| 12 | PLANCKAERT Jo | 70 |
| 13 | DE SCHROODER Benny | 61 |
| 15 | DE MAAR Marc | 70 |
| 17 | CAPELLE Ludovic | 75 |
| 18 | SCHEIRLINCKX Bert | 67 |
| 20 | OMLOOP Geert | 78 |
| 26 | DE FAUW Dimitri | 77 |
| 29 | KEISSE Iljo | 72 |
| 30 | WEYLANDT Wouter | 72 |