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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÖWIK Gerben | 72 |
| 2 | CAPELLE Ludovic | 75 |
| 3 | MATTAN Nico | 69 |
| 4 | KLIER Andreas | 72 |
| 5 | BRUYLANDTS Dave | 63 |
| 6 | HONDO Danilo | 73 |
| 8 | EISEL Bernhard | 74 |
| 9 | ADAMSSON Stefan | 68 |
| 10 | MCEWEN Robbie | 67 |
| 11 | SASSONE Robert | 75 |
| 12 | VAITKUS Tomas | 75 |
| 14 | O'GRADY Stuart | 73 |
| 15 | KOPP David | 68 |
| 16 | GILBERT Philippe | 75 |
| 17 | RADOCHLA Steffen | 70 |
| 18 | CAETHOVEN Steven | 67 |
| 20 | PLANCKAERT Jo | 70 |