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 = 0.3 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNEES Christian | 81 |
| 2 | KOPP David | 68 |
| 3 | REUS Kai | 70 |
| 4 | GESINK Robert | 70 |
| 6 | GIORDANI Leonardo | 68 |
| 7 | ROBERTS Luke | 71 |
| 8 | VERBIST Evert | 73 |
| 9 | SCHRECK Stephan | 76 |
| 13 | SCHOLZ Ronny | 60 |
| 14 | SIEBERG Marcel | 80 |
| 15 | WEISSINGER René | 74 |
| 18 | POITSCHKE Enrico | 73 |
| 19 | WROLICH Peter | 68 |
| 20 | BURGHARDT Marcus | 75 |
| 22 | GAJEK Artur | 74 |
| 24 | SIEDLER Sebastian | 75 |
| 25 | TIMMER Albert | 77 |