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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SAJNOK Szymon | 75 |
| 3 | MCNULTY Brandon | 69 |
| 5 | ROSTOVTSEV Sergey | 73 |
| 6 | LARSEN Niklas | 74 |
| 7 | WELTEN Bram | 81 |
| 8 | HALLER Patrick | 68 |
| 9 | STOKBRO Andreas | 70 |
| 11 | COSTA Adrien | 61 |
| 13 | RAJOVIĆ Dušan | 74 |
| 15 | PER Gorazd | 68 |
| 17 | FOSS Tobias | 74 |
| 18 | BEULLENS Cedric | 79 |
| 20 | PRONSKIY Vadim | 58 |
| 23 | GHYS Robbe | 72 |
| 26 | VAN DEN BERG Lars | 72 |
| 28 | HECHT Gage | 72 |