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 = -0.2 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TANOVIȚCHII Nicolae | 73 |
| 3 | PREVAR Oleksandr | 64 |
| 6 | MOLENAAR Alex | 63 |
| 10 | LAVRENTYEV Anton | 88 |
| 18 | COJANU Andrei | 65 |
| 19 | SZARKA Gergely | 67 |
| 21 | PÁPAI Ádám | 76 |
| 22 | KHALEL Sultan | 74 |
| 23 | HOPFGARTNER Paul | 63 |
| 25 | OCHSENHOFER Peter | 88 |
| 26 | HORVATH Roland | 60 |
| 35 | ZEMLYAKOV Oleg | 70 |
| 41 | MARINI Nicolas | 72 |
| 43 | CEVINI Peter | 63 |
| 45 | GALEYEV Vadim | 68 |