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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STOSZ Patryk | 70 |
| 2 | PIBERNIK Luka | 60 |
| 4 | HIRT Jan | 62 |
| 6 | BAŠKA Erik | 74 |
| 7 | SISR František | 72 |
| 8 | POLANC Jan | 62 |
| 9 | KONRAD Patrick | 64 |
| 12 | RABITSCH Stephan | 69 |
| 13 | RUGOVAC Denis | 69 |
| 14 | SKUJIŅŠ Toms | 70 |
| 15 | VALGREN Michael | 71 |
| 16 | DE GREEF Robbert | 65 |
| 17 | ČERNÝ Josef | 75 |