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 = -0.5 * weight + 75
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | RIŠKA Martin | 73 |
| 5 | NAGY Robert | 52 |
| 11 | BRONIŠ Roman | 74 |
| 17 | STEIG Csaba | 72 |
| 29 | KOTOULAS Manolis | 70 |
| 31 | GUYTON Scott | 74 |
| 36 | STEVIĆ Ivan | 66 |
| 42 | ROLLIN Dominique | 83 |
| 57 | MIZBANI Ghader | 67 |
| 58 | LUPAȘ Pavel-Emil | 74 |
| 79 | DONATI Alessandro | 71 |
| 92 | PETROV Daniel Bogomilov | 66 |
| 96 | GERGANOV Evgeni | 60 |