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 + 43
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TUREK Daniel | 72 |
| 2 | BRUSSELMAN Twan | 76 |
| 4 | DE GENDT Aimé | 75 |
| 5 | TAFERNER Michael | 71 |
| 6 | KRIGBAUM Mathias | 79 |
| 8 | JAKOBSEN Fabio | 78 |
| 9 | MCCORMICK Hayden | 72.5 |
| 10 | MATHIS Marco | 71 |
| 12 | VAN DONGEN Ricardo | 75 |
| 15 | BURTON Germain | 55 |
| 16 | VINJEBO Emil Mielke | 67 |
| 17 | BIERMANS Jenthe | 78 |
| 18 | GREGAARD Jonas | 66 |
| 22 | PLANCKAERT Emiel | 69 |