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 = -0.1 * weight + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PODLASKI Michał | 68 |
| 2 | HALLER Patrick | 68 |
| 5 | KERKHOF Tim | 76 |
| 6 | ČERNÝ Josef | 75 |
| 7 | GOLČER Jure | 66.5 |
| 8 | RUTKIEWICZ Marek | 66 |
| 9 | EISING Tijmen | 80 |
| 10 | DE LANGE Thijs | 58 |
| 11 | SCHLEMMER Lukas | 64 |
| 13 | NOLDE Tobias | 79 |
| 14 | VORGANOV Eduard | 65 |
| 15 | KUZMIN Anton | 66 |
| 16 | TACIAK Mateusz | 68 |
| 17 | PATERSKI Maciej | 73 |
| 19 | ARIESEN Johim | 70 |
| 20 | HNÍK Karel | 57 |
| 21 | MALCHAREK Moritz | 74 |