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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | EIKING Odd Christian | 75 |
| 3 | WILLWOHL Willi | 67 |
| 4 | GUERREIRO Ruben | 65 |
| 5 | VAN DALEN Jason | 70 |
| 6 | STOSZ Patryk | 70 |
| 7 | BAUHAUS Phil | 75 |
| 9 | ACKERMANN Pascal | 78 |
| 10 | HUPPERTZ Joshua | 66 |
| 11 | EGNER Arne | 73 |
| 15 | ARIESEN Tim | 70 |
| 18 | TOLHOEK Antwan | 61 |
| 19 | RESKE Tim | 64 |
| 20 | FRITZ Fabian | 73 |
| 21 | MATHIS Marco | 71 |