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 = 0.5 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MATHIS Marco | 71 |
| 2 | BANASZEK Alan | 75 |
| 4 | RAMANAU Raman | 68 |
| 5 | FRANZ Marcel | 62 |
| 7 | SYKALA Wojciech | 72 |
| 10 | PAWLAK Tobiasz | 81 |
| 16 | FRAHM Jasper | 90 |
| 20 | SŁAWEK Damian | 73 |
| 21 | BANASZEK Norbert | 75 |
| 22 | VASILYEV Maksym | 70 |
| 23 | DUBOVSKI Vladzislau | 75 |
| 28 | CARSTENSEN Lucas | 69 |
| 31 | WSOL Damian | 71 |
| 37 | JÜRß Malte | 77 |
| 41 | STROKAU Vasili | 74 |
| 45 | MUZYCHKIN Anton | 76 |
| 47 | LICHNOVSKÝ Luděk | 76 |