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 + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREIPEL André | 80 |
| 2 | VAN POPPEL Danny | 82 |
| 3 | KLUGE Roger | 83 |
| 4 | THEUNS Edward | 72 |
| 5 | KEIZER Martijn | 72 |
| 6 | CAMPENAERTS Victor | 68 |
| 7 | DE BIE Sean | 65 |
| 8 | VAN STAEYEN Michael | 62 |
| 9 | LAMPAERT Yves | 75 |
| 10 | SINKELDAM Ramon | 77 |
| 11 | KREDER Raymond | 70 |
| 12 | HENDERSON Gregory | 75 |
| 13 | HOFLAND Moreno | 71 |
| 14 | WIŚNIOWSKI Łukasz | 78 |
| 15 | DEMPSTER Zak | 77 |
| 16 | COLEDAN Marco | 83 |