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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RUTKIEWICZ Marek | 66 |
| 2 | MOSCA Jacopo | 65 |
| 3 | BUDYAK Anatoliy | 53 |
| 4 | PATERSKI Maciej | 73 |
| 5 | SCHELLING Patrick | 61 |
| 6 | GRABIS Mateusz | 75 |
| 9 | BROŻYNA Piotr | 71 |
| 10 | STOSZ Patryk | 70 |
| 11 | VALTER Attila | 65 |
| 12 | MAŁECKI Kamil | 69 |
| 13 | CIEŚLIK Paweł | 65 |
| 14 | STEIMLE Jannik | 73 |
| 15 | KUZMIN Anton | 66 |
| 16 | GROŠELJ Žiga | 62 |
| 17 | SCHINNAGEL Johannes | 68 |