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 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFFMANN Günter | 65 |
| 2 | PETROV Aleksei | 76 |
| 2 | MELIKHOV Yury | 76 |
| 2 | SAIDKHUZHIN Gainan | 69 |
| 3 | MOICEANU Gabriel | 72 |
| 4 | SMOLÍK Jan | 73 |
| 6 | SWERTS Roger | 75 |
| 7 | ZIELIŃSKI Rajmund | 80 |
| 7 | KUDRA Jan | 68 |
| 7 | KEGEL Marian | 72 |
| 7 | MAGIERA Jan | 78 |
| 7 | GAZDA Stanislaw | 69 |
| 8 | HORVÁTH Ferenc | 66 |
| 8 | MAHÓ László | 70 |
| 8 | MEGYERDI Antal | 65 |
| 8 | TAKÁCS András | 65 |
| 9 | KOTEV Dimitar | 82 |