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 + 3
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CASPER Jimmy | 69 |
| 2 | LÖWIK Gerben | 72 |
| 3 | CAPELLE Ludovic | 75 |
| 5 | VANSUMMEREN Johan | 79 |
| 6 | EDALEINE Christophe | 62 |
| 7 | BRUYLANDTS Dave | 63 |
| 9 | VAITKUS Tomas | 75 |
| 12 | KAGGESTAD Mads | 66 |
| 13 | HAYMAN Mathew | 78 |
| 14 | DE WEERT Kevin | 70 |
| 15 | EISEL Bernhard | 74 |