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 = 0.9 * weight - 39
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SZURKOWSKI Ryszard | 77 |
| 2 | DUCHEMIN Marcel | 60 |
| 3 | HANUSIK Zygmunt | 74 |
| 6 | CZECHOWSKI Zenon | 75 |
| 7 | GERA Imre | 76 |
| 10 | SAIDKHUZHIN Gainan | 69 |
| 14 | SMOLÍK Jan | 73 |
| 22 | VASILE Teodor | 66 |
| 34 | HANNUS Harry | 76 |
| 37 | PRCHAL Jiri | 77 |
| 42 | UUSIVIRTA Mauno | 77 |
| 45 | ČUBRIĆ Radoš | 80 |
| 51 | PETERMAN József | 70 |
| 52 | VUORENHELA Tapani Aimo | 75 |
| 62 | KESERŰ Ferenc | 79 |
| 73 | GUSTAVSEN Jan Erik | 68 |