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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAAS Martin | 76 |
| 3 | MANDRYSCH John | 73 |
| 5 | RÄIM Mihkel | 69 |
| 9 | MULLEN Ryan | 77 |
| 10 | ZEMLYAKOV Oleg | 70 |
| 13 | SISR František | 72 |
| 15 | ZILBERSTEIN Ido | 57 |
| 16 | TUREK Daniel | 72 |
| 20 | ASGREEN Kasper | 75 |
| 23 | JABRAYILOV Samir | 52 |
| 26 | EVTUSHENKO Alexander | 72 |
| 27 | DE KEIJZER Gerd | 72.6 |
| 35 | SAMLI Feritcan | 75 |
| 37 | RUMAC Josip | 71 |
| 39 | VAHTRA Norman | 85 |