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 - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | RIŠKA Martin | 73 |
| 9 | LUTTENBERGER Peter | 60 |
| 10 | PFANNBERGER Christian | 63 |
| 11 | BONČA Valter | 63 |
| 16 | BRONIŠ Roman | 74 |
| 17 | MAHORIČ Mitja | 68 |
| 19 | ROGINA Radoslav | 70 |
| 20 | NAGY Robert | 52 |
| 24 | KOHL Bernhard | 61 |
| 25 | GOLČER Jure | 66.5 |
| 27 | BONCIUCOV Igor | 66 |
| 41 | MÜHLBACHER Thomas | 68 |
| 52 | VALACH Ján | 75 |