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 = -0.5 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | VOLTR Martin | 75 |
| 4 | ROSENLUND Stian | 72 |
| 5 | PŘIDAL Tomáš | 66 |
| 7 | HAUGLAND Kasper | 74 |
| 11 | KUBIŠ Lukáš | 70 |
| 12 | MARSMAN Tim | 75 |
| 13 | BUDZIŃSKI Tomasz | 69 |
| 14 | SCHÖNBERGER Sebastian | 64 |
| 16 | HOWCROFT Joe | 68 |
| 17 | KACZMAREK Jakub | 66 |
| 18 | KAŠPAR Jan | 73 |