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 = -1.1 * weight + 102
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROELS Dominik | 75 |
| 4 | LISOWICZ Tomasz | 85 |
| 5 | KIENDYŚ Tomasz | 78 |
| 6 | SAPA Marcin | 82 |
| 7 | PAWLAK Wojciech | 73 |
| 9 | BRONIŠ Roman | 74 |
| 17 | MIRONOV Alexander | 68 |
| 19 | REIMER Martin | 69 |
| 21 | OJAVEE Mart | 80 |
| 23 | SOHRABI Mehdi | 69 |
| 30 | STAUFF Andreas | 82 |
| 31 | KLUGE Roger | 83 |
| 44 | FIRSANOV Sergey | 58 |
| 50 | ROMANIK Radosław | 62 |
| 55 | KOMAR Mateusz | 73 |