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 = 0.1 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VON HOFF Steele | 70 |
| 2 | BAUHAUS Phil | 75 |
| 3 | MARTINEZ Yannick | 69 |
| 4 | STENUIT Robin | 77 |
| 5 | VAN DER SANDE Tosh | 67 |
| 6 | MAS Lluís | 69 |
| 7 | VAN ASBROECK Tom | 72 |
| 8 | COLLI Daniele | 73 |
| 9 | LOWNDES Jason | 82 |
| 11 | VAN LERBERGHE Bert | 83 |
| 13 | PAGE Dylan | 64 |
| 14 | HALVORSEN Kristoffer | 69 |
| 16 | ANTONINI Simone | 75 |
| 17 | HOELGAARD Markus | 74 |