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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HOFFMANN Günter | 65 |
| 1 | SCHUR Gustav-Adolf | 73 |
| 2 | KAPITONOV Viktor | 73 |
| 3 | SMOLÍK Jan | 73 |
| 4 | MOICEANU Gabriel | 72 |
| 5 | GAZDA Stanislaw | 69 |
| 5 | ZIELIŃSKI Rajmund | 80 |
| 5 | KUDRA Jan | 68 |
| 6 | JUSZKO Janos | 78 |
| 6 | HORVÁTH Ferenc | 66 |
| 6 | MAHÓ László | 70 |
| 6 | MEGYERDI Antal | 65 |
| 8 | KOTEV Dimitar | 82 |
| 10 | SKIBBY Willy | 69 |