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 = -0.7 * weight + 65
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VOLTR Martin | 75 |
| 5 | ROSENLUND Stian | 72 |
| 6 | SCHWARZBACHER Matthias | 72 |
| 7 | PŘIDAL Tomáš | 66 |
| 8 | ZAHÁLKA Matěj | 73 |
| 12 | HAUGLAND Kasper | 74 |
| 16 | KUBIŠ Lukáš | 70 |
| 17 | BUDZIŃSKI Tomasz | 69 |
| 18 | SCHÖNBERGER Sebastian | 64 |
| 19 | MARSMAN Tim | 75 |
| 21 | HOWCROFT Joe | 68 |
| 22 | KAŠPAR Jan | 73 |
| 23 | KACZMAREK Jakub | 66 |