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 = -1.2 * weight + 123
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DE WEERT Kevin | 70 |
| 5 | POSTHUMA Joost | 76 |
| 12 | SHPILEVSKY Boris | 78 |
| 15 | GAZVODA Gregor | 72 |
| 26 | DE KORT Koen | 69 |
| 28 | DEKKERS Hans | 72 |
| 30 | SOUTHAM Tom | 69 |
| 32 | MOURIS Jens | 91 |
| 33 | VAN HUMMEL Kenny | 64 |
| 46 | MEINERT-NIELSEN Peter | 73 |
| 51 | FIRSANOV Sergey | 58 |
| 77 | MARIN Matej | 67 |
| 79 | HOOGERLAND Johnny | 65 |
| 83 | STRGAR Matic | 62 |
| 93 | DE FAUW Dimitri | 77 |