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 = -0.5 * weight + 62
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | DE WOLF Fons | 75 |
| 6 | SCHEPERS Eddy | 60 |
| 9 | KELLY Sean | 77 |
| 12 | DE ROOIJ Theo | 69 |
| 16 | KUIPER Hennie | 69 |
| 18 | ARGENTIN Moreno | 66 |
| 22 | WINNEN Peter | 60 |
| 25 | BARONCHELLI Gianbattista | 72 |
| 26 | GAVAZZI Pierino | 67 |
| 34 | VAN DER POEL Adrie | 70 |
| 35 | DEMIERRE Serge | 70 |
| 40 | ZOETEMELK Joop | 68 |
| 41 | SUTTER Ueli | 70 |
| 63 | MAERTENS Freddy | 65 |