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 = -2.2 * weight + 184
This means that on average for every extra kilogram weight a rider loses -2.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | HUZARSKI Bartosz | 69 |
| 5 | PAWLAK Wojciech | 73 |
| 10 | SAPA Marcin | 82 |
| 11 | MAZUR Peter | 73 |
| 13 | KIENDYŚ Tomasz | 78 |
| 14 | ZAMANA Cezary | 74 |
| 15 | RABOŇ František | 74 |
| 20 | BRONIŠ Roman | 74 |
| 23 | VALACH Ján | 75 |
| 31 | LÖFKVIST Thomas | 70 |
| 36 | MICKIEWICZ Jacek | 74 |
| 39 | CHMIELEWSKI Piotr | 72 |
| 44 | JURČO Matej | 69 |
| 57 | GALIŃSKI Marek | 63 |
| 67 | RIŠKA Martin | 73 |