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 = -0.9 * weight + 78
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE LIE Arnaud | 78 |
| 2 | DEHAIRS Simon | 82 |
| 3 | VAN RYCKEGHEM Lars | 80 |
| 5 | VANDENBULCKE Alex | 61 |
| 8 | DHAEYE Enrico | 71 |
| 9 | HUYS Branko | 77 |
| 10 | PAULUS Milan | 62 |
| 11 | DEJAEGHER Jasper | 72 |
| 12 | DEBRUYNE Ramses | 66 |
| 14 | LOOTENS Gust | 74 |
| 16 | DE POOTER Dries | 66 |
| 23 | DEWEIRDT Siebe | 69 |
| 25 | LADANG Miguel | 70 |
| 26 | ROESEMS Siebe | 70 |
| 27 | CRAPS Lars | 67 |
| 45 | VANDENSTORME Dylan | 64 |