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 = -1.2 * weight + 129
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | KLUGE Roger | 83 |
| 8 | LISOWICZ Tomasz | 85 |
| 16 | OJAVEE Mart | 80 |
| 17 | STAUFF Andreas | 82 |
| 20 | ROELS Dominik | 75 |
| 29 | MIRONOV Alexander | 68 |
| 37 | FIRSANOV Sergey | 58 |
| 43 | REIMER Martin | 69 |
| 46 | PAWLAK Wojciech | 73 |
| 48 | SOHRABI Mehdi | 69 |
| 53 | KIENDYŚ Tomasz | 78 |
| 62 | SAPA Marcin | 82 |
| 63 | ROMANIK Radosław | 62 |
| 66 | BRONIŠ Roman | 74 |
| 75 | KOMAR Mateusz | 73 |