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 | BROŻYNA Piotr | 71 |
| 2 | MAYER Alexandre | 64 |
| 3 | MILTIADIS Andreas | 74 |
| 5 | STOSZ Patryk | 70 |
| 6 | PURTSCHELLER Jakob | 75 |
| 7 | LENNÉ Arthur | 65 |
| 8 | KAGIMU Charles | 63 |
| 10 | VENTER Jaco | 70 |
| 11 | BICHLMANN Daniel | 72 |
| 12 | LAGAB Azzedine | 63 |