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 = -0.6 * weight + 49
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MOSCA Jacopo | 65 |
| 2 | MAŁECKI Kamil | 69 |
| 3 | STEIMLE Jannik | 73 |
| 4 | GRABIS Mateusz | 75 |
| 5 | KATRAŠNIK Gašper | 69 |
| 6 | PATERSKI Maciej | 73 |
| 9 | AUER Daniel | 73 |
| 10 | JANISZEWSKI Sylwester | 65 |
| 11 | LUCHSHENKO Sergey | 63 |
| 12 | VALTER Attila | 65 |
| 13 | STÜSSI Colin | 68 |
| 15 | PODLASKI Michał | 68 |
| 16 | PALUTA Michał | 65 |
| 17 | BROŻYNA Piotr | 71 |
| 18 | STOSZ Patryk | 70 |
| 19 | PLUCIŃSKI Leszek | 59 |