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 + 112
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOMAR Mateusz | 73 |
| 2 | KIENDYŚ Tomasz | 78 |
| 4 | PAWLAK Wojciech | 73 |
| 5 | SAPA Marcin | 82 |
| 7 | OJAVEE Mart | 80 |
| 10 | MIRONOV Alexander | 68 |
| 21 | KRUPA Dawid | 74 |
| 30 | BRONIŠ Roman | 74 |
| 34 | LISOWICZ Tomasz | 85 |
| 40 | JAKIN Alo | 71 |
| 43 | SARAMOTINS Aleksejs | 75 |
| 45 | ROMANIK Radosław | 62 |
| 51 | FIRSANOV Sergey | 58 |