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 - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PODLASKI Michał | 68 |
| 2 | STARK Immanuel | 67 |
| 3 | PATERSKI Maciej | 73 |
| 4 | BUTS Vitaliy | 68 |
| 5 | KOMIN Aleksandr | 63 |
| 6 | ZIELIńSKI Kamil | 61 |
| 7 | STACHOWIAK Adam | 62 |
| 8 | STÖHR Pavel | 66 |
| 9 | BAZHKOU Stanislau | 65 |
| 10 | VAN POUCKE Aaron | 68 |
| 11 | ŠTOČEK Matúš | 80 |
| 13 | RUTKIEWICZ Marek | 66 |
| 15 | KOMAR Mateusz | 73 |
| 16 | GRABIS Mateusz | 75 |
| 17 | DINKLER Jonathan | 61 |