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 - 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZIELIńSKI Kamil | 61 |
| 3 | KAŇKOVSKÝ Alois | 83 |
| 4 | JANISZEWSKI Sylwester | 65 |
| 6 | EIKELAND Ken Levi | 68 |
| 7 | RUTKIEWICZ Marek | 66 |
| 10 | BERNAS Paweł | 77 |
| 11 | KOMAR Mateusz | 73 |
| 12 | STÖHR Ján | 72 |
| 13 | ÖRKEN Ahmet | 69 |
| 14 | NEUMAN Dominik | 72 |
| 15 | ANIOŁKOWSKI Stanisław | 68 |
| 17 | LARSÉN Richard | 82 |
| 18 | MAGNUSSON Kim | 71 |
| 19 | WETTERHALL Alexander | 70 |
| 20 | POLNICKÝ Jiří | 68 |