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 = 0.1 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SCHMIDBAUER Maximilian | 69 |
| 4 | OIOLI Manuel | 65 |
| 5 | HOFBAUER Philipp | 70 |
| 6 | STÜSSI Colin | 68 |
| 7 | PAWLAK Tobiasz | 81 |
| 9 | MORA Sebastián | 70 |
| 10 | BUDZIŃSKI Tomasz | 69 |
| 13 | KONYCHEV Alexander | 76 |
| 14 | LUCCA Riccardo | 74 |
| 16 | ARVANITOU Nikiforos | 71 |
| 25 | BAGATIN Christian | 75 |
| 26 | NOVÁK Pavel | 64 |