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 = 1.6 * weight - 62
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | VALACH Ján | 75 |
| 11 | RIŠKA Martin | 73 |
| 16 | BONCIUCOV Igor | 66 |
| 20 | BOŽIČ Borut | 70 |
| 28 | STRGAR Matic | 62 |
| 33 | GALIŃSKI Marek | 63 |
| 36 | LJUNGBLAD Jonas | 70 |
| 37 | KVASINA Matija | 72 |
| 78 | EFIMKIN Vladimir | 67 |
| 80 | LÍŠKA Tomáš | 85 |
| 81 | LARSSON Gustav Erik | 77 |
| 85 | BRASI Rossano | 67 |
| 94 | EFIMKIN Alexander | 70 |
| 102 | BRONIŠ Roman | 74 |