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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OTRUBA Jakub | 75 |
| 2 | KELEMEN Petr | 70 |
| 3 | VACEK Mathias | 75 |
| 4 | TUREK Daniel | 72 |
| 5 | JAKOUBEK Tomáš | 72 |
| 6 | ŤOUPALÍK Adam | 65 |
| 7 | BÁRTA Jan | 75 |
| 8 | BOROŠ Michael | 69 |
| 9 | KUKRLE Michael | 73 |
| 10 | KAŠPAR Jan | 73 |
| 11 | GDULA Tomáš | 63 |
| 16 | HABERMANN Richard | 74 |