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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JAKOUBEK Tomáš | 72 |
| 3 | ŤOUPALÍK Adam | 65 |
| 6 | KUKRLE Michael | 73 |
| 7 | VOLTR Martin | 75 |
| 8 | HANSEN Alexander Arnt | 68 |
| 9 | ZANGERLE Emanuel | 68 |
| 10 | DINA Márton | 67 |
| 11 | VYSOČAN Daniel | 71 |
| 12 | VANHOUCKE Harm | 65 |
| 13 | ÅRNES Daniel | 80 |
| 15 | VAN DE WYNKELE Lorenz | 75 |