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 = -0.6 * weight + 60
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROGINA Radoslav | 70 |
| 3 | MAHORIČ Mitja | 68 |
| 4 | KIŠERLOVSKI Robert | 72 |
| 7 | HEGREBERG Morten | 72 |
| 11 | KVASINA Matija | 72 |
| 13 | SARAMOTINS Aleksejs | 75 |
| 15 | FIRSANOV Sergey | 58 |
| 17 | ROMANIK Radosław | 62 |
| 20 | BRONIŠ Roman | 74 |
| 27 | KÖNIG Leopold | 62 |
| 29 | JOVANOVIĆ Nebojša | 60 |
| 35 | BAJC Andi | 65 |
| 41 | SAGAN Juraj | 65 |
| 49 | SAPA Marcin | 82 |
| 56 | ĐURASEK Kristijan | 56 |