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 = -2 * weight + 172
This means that on average for every extra kilogram weight a rider loses -2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BILEKA Volodymyr | 65 |
| 4 | CADAMURO Simone | 78 |
| 5 | POPOVYCH Yaroslav | 64 |
| 6 | ROGINA Radoslav | 70 |
| 20 | MARIN Matej | 67 |
| 22 | LJUNGBLAD Jonas | 70 |
| 36 | HUZARSKI Bartosz | 69 |
| 43 | MAHORIČ Mitja | 68 |
| 54 | BRAJKOVIČ Janez | 60 |
| 69 | KOHUT Sławomir | 65 |
| 71 | GAZVODA Gregor | 72 |
| 73 | NAGY Robert | 52 |
| 79 | CARLSTRÖM Kjell | 70 |
| 90 | BONČA Valter | 63 |