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 = 1.1 * weight - 46
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUTLER Chris | 61 |
| 4 | RÄIM Mihkel | 69 |
| 5 | TUREK Daniel | 72 |
| 8 | VAN ENGELEN Adne | 51 |
| 9 | SPREAFICO Matteo | 69 |
| 14 | KOROŠEC Rok | 75 |
| 16 | PREVAR Oleksandr | 64 |
| 18 | FILUTÁS Viktor | 68 |
| 19 | RUČIGAJ Žiga | 68 |
| 21 | TAGLIANI Filippo | 70 |
| 22 | VAN AKEN Matthias | 56 |
| 24 | THILL Tom | 73 |
| 28 | PIASKOWY Emanuel | 60 |
| 50 | KOVÁCS Dávid | 71 |
| 53 | LOVASSY Krisztián | 71 |
| 56 | SZEGHALMI Balint | 66 |
| 76 | CRAVEN Dan | 75 |