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 + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VACEK Mathias | 75 |
| 2 | ČERNÝ Josef | 75 |
| 3 | OTRUBA Jakub | 75 |
| 4 | ŘEHA Filip | 72 |
| 5 | ŤOUPALÍK Adam | 65 |
| 6 | TUREK Daniel | 72 |
| 7 | BITTNER Pavel | 73 |
| 8 | ŤOUPALÍK Jakub | 65 |
| 9 | BOROŠ Michael | 69 |
| 10 | KAŠPAR Jan | 73 |
| 14 | RUGOVAC Denis | 69 |