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 + 86
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KONYCHEV Alexander | 76 |
| 6 | PŘIDAL Tomáš | 66 |
| 8 | TAILLIEU Aldo | 68 |
| 11 | BUDZIŃSKI Marcin | 70 |
| 14 | ŠTOČEK Matúš | 80 |
| 18 | PĘKALA Piotr | 65 |
| 21 | FINKŠT Tilen | 70 |
| 25 | FETTER Erik | 70 |
| 26 | STIEGER Adrian | 68 |
| 29 | VERGOUW Julian | 73 |
| 31 | SOWIŃSKI Artur | 63 |
| 32 | BRUN Nils | 64 |
| 33 | JAIME Álex | 70 |
| 37 | SIVOK Tomáš | 53 |
| 40 | MRÁZ Daniel | 66 |