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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KADLEC Milan | 70 |
| 2 | ROSSKOPF Joey | 74 |
| 3 | CHOI Ki Ho | 59 |
| 4 | GOESINNEN Floris | 75 |
| 7 | KAŇKOVSKÝ Alois | 83 |
| 8 | MCCANN David | 73 |
| 9 | CHEUNG King Lok | 59 |
| 10 | VAUBOURZEIX Thomas | 70 |
| 11 | WANG Meiyin | 70 |
| 14 | SEREBRYAKOV Alexander | 70 |
| 15 | MARQUE Alejandro Manuel | 68 |