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 = -2.4 * weight + 221
This means that on average for every extra kilogram weight a rider loses -2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOURIS Jens | 91 |
| 4 | DEKKERS Hans | 72 |
| 8 | POSTHUMA Joost | 76 |
| 9 | DE KORT Koen | 69 |
| 13 | DE WEERT Kevin | 70 |
| 33 | SOUTHAM Tom | 69 |
| 46 | DE FAUW Dimitri | 77 |
| 48 | VAN HUMMEL Kenny | 64 |
| 50 | SHPILEVSKY Boris | 78 |
| 52 | MEINERT-NIELSEN Peter | 73 |
| 56 | SCHEP Peter | 80 |
| 67 | MARIN Matej | 67 |
| 71 | HOOGERLAND Johnny | 65 |
| 81 | STRGAR Matic | 62 |
| 117 | FIRSANOV Sergey | 58 |
| 123 | GAZVODA Gregor | 72 |