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 - 7
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KONEČNÝ Tomáš | 67 |
| 4 | JULICH Bobby | 68 |
| 5 | CORTINOVIS Alessandro | 68 |
| 6 | SOSENKA Ondřej | 82 |
| 7 | HEPPNER Jens | 69 |
| 8 | WESEMANN Steffen | 72 |
| 10 | VAN HYFTE Paul | 70 |
| 11 | PIĄTEK Zbigniew | 71 |
| 12 | PIIL Jakob Storm | 65 |
| 13 | GRABSCH Ralf | 81 |
| 14 | PINOTTI Marco | 67 |
| 15 | POITSCHKE Enrico | 73 |
| 16 | SCHAFFRATH Jan | 74 |
| 17 | FRISCHKORN William | 68 |
| 20 | BENČÍK Petr | 73 |
| 21 | SCHRECK Stephan | 76 |