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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 2 | EKIMOV Viatcheslav | 69 |
| 3 | BREUKINK Erik | 70 |
| 4 | BRUYNEEL Johan | 71 |
| 5 | DEKKER Erik | 66 |
| 6 | BLAUDZUN Michael | 66 |
| 7 | ROMINGER Tony | 65 |
| 8 | TONKOV Pavel | 70 |
| 9 | MEINERT-NIELSEN Peter | 73 |
| 10 | PERON Andrea | 70 |
| 11 | TETERIOUK Andrei | 72 |
| 12 | SIVAKOV Alexei | 72 |
| 13 | ZBERG Beat | 72 |
| 14 | MEIER Roland | 60 |
| 15 | BARANOWSKI Dariusz | 68 |