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 = 1.6 * weight + 449
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DROGAN Bernd | 69 |
| 2 | SUKHORUCHENKOV Sergei | 72 |
| 3 | JANKIEWICZ Jan | 68 |
| 4 | MYTNIK Tadeusz | 75 |
| 9 | PIKKUUS Aavo | 76 |
| 10 | HARTNICK Hans-Joachim | 76 |
| 990 | KLASA Michal | 79 |
| 990 | AVERIN Alexandre | 69 |
| 990 | VASILE Teodor | 66 |
| 990 | KONEČNÝ Vlastibor | 75 |
| 990 | BERTIL PUISTO Kari | 63 |
| 990 | HALÁSZ Zoltán | 68 |
| 990 | SZUROMI György | 85 |
| 990 | JØRGENSEN Per Sandahl | 78 |