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 + 26
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOGUT Oded | 77 |
| 3 | GROSU Eduard-Michael | 68 |
| 5 | FRANZ Toni | 60 |
| 6 | LÜHRS Leslie | 83 |
| 8 | RUDYK Bartosz | 76 |
| 9 | RASCH Jesper | 71 |
| 10 | LUNDER Eirik | 78 |
| 11 | FRĄTCZAK Radosław | 70 |
| 12 | STEININGER Fabian | 64 |
| 13 | SZÓSTKA Paweł | 63 |
| 16 | LAŠINIS Venantas | 69 |
| 19 | GATHEMANN Albert | 62 |
| 21 | DIK Calvin | 77 |
| 23 | STIEGER Adrian | 68 |