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 = -0.2 * weight + 31
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMANIK Radosław | 62 |
| 2 | BODNAR Łukasz | 68 |
| 3 | BRONIŠ Roman | 74 |
| 6 | WITECKI Mariusz | 70 |
| 7 | KRUPA Dawid | 74 |
| 8 | PORSEV Alexander | 80 |
| 11 | SAPA Marcin | 82 |
| 12 | JANIACZYK Błażej | 68 |
| 13 | KIENDYŚ Tomasz | 78 |
| 14 | COMMEYNE Davy | 70 |
| 16 | LAGKUTI Sergiy | 68 |
| 17 | JANISZEWSKI Sylwester | 65 |
| 19 | MATYSIAK Bartłomiej | 71 |
| 26 | CHARUCKI Paweł | 64 |
| 27 | TYBOR Patrik | 72 |
| 33 | KOMAR Mateusz | 73 |
| 47 | BERDEN Ben | 69 |