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 + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RIŠKA Martin | 73 |
| 2 | BRONIŠ Roman | 74 |
| 5 | STEVIĆ Ivan | 66 |
| 16 | PETROV Daniel Bogomilov | 66 |
| 19 | NAGY Robert | 52 |
| 29 | MIZBANI Ghader | 67 |
| 36 | LUPAȘ Pavel-Emil | 74 |
| 37 | GERGANOV Evgeni | 60 |
| 50 | DONATI Alessandro | 71 |
| 55 | STEIG Csaba | 72 |