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 - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SPRENGERS Thomas | 60 |
| 4 | VAN DER HAAR Lars | 58 |
| 5 | WAEYTENS Zico | 67 |
| 7 | ASSELMAN Jesper | 69 |
| 9 | KELDERMAN Wilco | 65 |
| 10 | WELLENS Tim | 71 |
| 14 | VANOVERBERGHE Arthur | 65 |
| 15 | ELISSONDE Kenny | 52 |
| 17 | BROECKX Stig | 73 |
| 22 | DE VOS Gertjan | 72 |
| 24 | LAMMERTINK Maurits | 61 |
| 28 | KREDER Wesley | 71 |
| 29 | VAN DER LIJKE Nick | 61 |
| 44 | VERMOTE Alphonse | 74 |