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 = 0.8 * weight - 33
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORDHAGEN Jørgen | 59 |
| 2 | WIDAR Jarno | 54 |
| 5 | VAN DER WERFF Thom | 60 |
| 6 | NOVÁK Samuel | 63 |
| 10 | BRENNAN Matthew | 68 |
| 15 | RENAUD-TREMBLAY Sasha | 60 |
| 16 | BOCK Max | 53 |
| 21 | SKOK Marcel | 65 |
| 22 | GRUSZCZYNSKI Filip | 60 |
| 23 | GOTTSTEIN Simon | 68 |
| 25 | FOFONOV Artem | 70 |
| 26 | FONTAINE Titouan | 70 |
| 31 | BOSSEN Magne | 55 |
| 35 | BENGELSDORF Lui | 76 |