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 = -0.4 * weight + 58
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOROŠEC Rok | 75 |
| 3 | LOVASSY Krisztián | 71 |
| 4 | RÄIM Mihkel | 69 |
| 5 | TAGLIANI Filippo | 70 |
| 10 | TUREK Daniel | 72 |
| 19 | RUČIGAJ Žiga | 68 |
| 21 | PREVAR Oleksandr | 64 |
| 23 | VAN ENGELEN Adne | 51 |
| 27 | FILUTÁS Viktor | 68 |
| 28 | SPREAFICO Matteo | 69 |
| 33 | THILL Tom | 73 |
| 36 | VAN AKEN Matthias | 56 |
| 37 | BUTLER Chris | 61 |
| 50 | SZEGHALMI Balint | 66 |
| 58 | PIASKOWY Emanuel | 60 |
| 62 | KOVÁCS Dávid | 71 |
| 69 | CRAVEN Dan | 75 |