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 = -0.9 * weight + 80
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VOLTR Martin | 75 |
| 7 | ROSENLUND Stian | 72 |
| 8 | SCHWARZBACHER Matthias | 72 |
| 10 | PŘIDAL Tomáš | 66 |
| 11 | ZAHÁLKA Matěj | 73 |
| 15 | HAUGLAND Kasper | 74 |
| 16 | KUKRLE Michael | 73 |
| 20 | KUBIŠ Lukáš | 70 |
| 21 | BUDZIŃSKI Tomasz | 69 |
| 22 | SCHÖNBERGER Sebastian | 64 |
| 23 | MARSMAN Tim | 75 |
| 24 | BUDZIŃSKI Marcin | 70 |
| 25 | HOWCROFT Joe | 68 |
| 26 | KAŠPAR Jan | 73 |
| 27 | KACZMAREK Jakub | 66 |