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 = -0.3 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BUTS Vitaliy | 68 |
| 4 | BATEK Dariusz | 73 |
| 5 | EISING Tijmen | 80 |
| 6 | FRANCZAK Paweł | 63 |
| 7 | RUTKIEWICZ Marek | 66 |
| 8 | POLNICKÝ Jiří | 68 |
| 9 | OWSIAN Łukasz | 66 |
| 10 | PREVAR Oleksandr | 64 |
| 11 | HONKISZ Adrian | 61 |
| 12 | MATYSIAK Bartłomiej | 71 |
| 13 | NOVAK Domen | 70 |
| 14 | GMELICH MEIJLING Jarno | 77 |
| 16 | VASYLYUK Andriy | 65 |
| 19 | STACHOWIAK Adam | 62 |
| 20 | GOLČER Jure | 66.5 |
| 21 | WILLWOHL Willi | 67 |