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 = -0.4 * weight + 52
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SZURKOWSKI Ryszard | 77 |
| 2 | CZECHOWSKI Zenon | 75 |
| 3 | STARKOV Anatoliy | 73 |
| 4 | DEMEYER Marc | 85 |
| 5 | NELYUBIN Vladislav | 71 |
| 13 | VASILE Teodor | 66 |
| 14 | MORAVEC Vlastimil | 74 |
| 18 | MATOUŠEK Petr | 82 |
| 26 | PETERMAN József | 70 |
| 28 | WESEMANN Wolfgang | 70 |
| 29 | ONGARATO Franco | 73 |
| 33 | UUSIVIRTA Mauno | 77 |
| 36 | HOLÍK Alois | 83 |
| 52 | HANNUS Harry | 76 |
| 53 | NAJJARI Mustapha | 68 |