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 - 18
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | RÄIM Mihkel | 69 |
| 3 | TUREK Daniel | 72 |
| 5 | KOROŠEC Rok | 75 |
| 6 | VAN ENGELEN Adne | 51 |
| 13 | RUČIGAJ Žiga | 68 |
| 14 | TAGLIANI Filippo | 70 |
| 16 | PREVAR Oleksandr | 64 |
| 18 | BUTLER Chris | 61 |
| 20 | SPREAFICO Matteo | 69 |
| 23 | FILUTÁS Viktor | 68 |
| 28 | VAN AKEN Matthias | 56 |
| 29 | THILL Tom | 73 |
| 31 | PIASKOWY Emanuel | 60 |
| 47 | LOVASSY Krisztián | 71 |
| 53 | KOVÁCS Dávid | 71 |
| 57 | SZEGHALMI Balint | 66 |
| 68 | CRAVEN Dan | 75 |