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 + 25
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MARINI Nicolas | 72 |
| 12 | TANOVIȚCHII Nicolae | 73 |
| 13 | PREVAR Oleksandr | 64 |
| 14 | MOLENAAR Alex | 63 |
| 17 | PÁPAI Ádám | 76 |
| 18 | HOPFGARTNER Paul | 63 |
| 21 | SZARKA Gergely | 67 |
| 22 | GALEYEV Vadim | 68 |
| 29 | COJANU Andrei | 65 |
| 32 | LAVRENTYEV Anton | 88 |
| 42 | ZEMLYAKOV Oleg | 70 |
| 44 | OCHSENHOFER Peter | 88 |
| 49 | CEVINI Peter | 63 |
| 50 | KHALEL Sultan | 74 |
| 54 | TUREBEKOV Hurgali | 68 |
| 57 | HORVATH Roland | 60 |