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 = 2.8 * weight - 159
This means that on average for every extra kilogram weight a rider loses 2.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BRASI Rossano | 67 |
| 4 | BOŽIČ Borut | 70 |
| 11 | BONCIUCOV Igor | 66 |
| 13 | EFIMKIN Alexander | 70 |
| 16 | GALIŃSKI Marek | 63 |
| 24 | EFIMKIN Vladimir | 67 |
| 27 | BRONIŠ Roman | 74 |
| 30 | LJUNGBLAD Jonas | 70 |
| 35 | VALACH Ján | 75 |
| 44 | RIŠKA Martin | 73 |
| 57 | LARSSON Gustav Erik | 77 |
| 59 | STRGAR Matic | 62 |
| 93 | LÍŠKA Tomáš | 85 |
| 95 | KVASINA Matija | 72 |