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 = -0.4 * weight + 38
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SISR František | 72 |
| 2 | TUREK Daniel | 72 |
| 3 | RÄIM Mihkel | 69 |
| 5 | ZEMLYAKOV Oleg | 70 |
| 6 | MULLEN Ryan | 77 |
| 8 | LAAS Martin | 76 |
| 12 | MANDRYSCH John | 73 |
| 16 | JABRAYILOV Samir | 52 |
| 19 | ZILBERSTEIN Ido | 57 |
| 23 | RUMAC Josip | 71 |
| 26 | EVTUSHENKO Alexander | 72 |