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 = -1.4 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONCIUCOV Igor | 66 |
| 7 | LARSSON Gustav Erik | 77 |
| 9 | LJUNGBLAD Jonas | 70 |
| 18 | VALACH Ján | 75 |
| 23 | RIŠKA Martin | 73 |
| 34 | BRONIŠ Roman | 74 |
| 39 | LÍŠKA Tomáš | 85 |
| 41 | EFIMKIN Vladimir | 67 |
| 61 | GALIŃSKI Marek | 63 |
| 67 | EFIMKIN Alexander | 70 |
| 81 | BOŽIČ Borut | 70 |
| 82 | KVASINA Matija | 72 |
| 93 | BRASI Rossano | 67 |