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 = 0.4 * weight - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KIENDYŚ Tomasz | 78 |
| 2 | KOMAR Mateusz | 73 |
| 3 | SAPA Marcin | 82 |
| 4 | PAWLAK Wojciech | 73 |
| 5 | OJAVEE Mart | 80 |
| 6 | MIRONOV Alexander | 68 |
| 11 | FIRSANOV Sergey | 58 |
| 12 | ROMANIK Radosław | 62 |
| 15 | SARAMOTINS Aleksejs | 75 |
| 28 | KRUPA Dawid | 74 |
| 34 | JAKIN Alo | 71 |
| 43 | BRONIŠ Roman | 74 |
| 46 | LISOWICZ Tomasz | 85 |