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 - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BAGDONAS Gediminas | 78 |
| 3 | TACIAK Mateusz | 68 |
| 6 | MØRKØV Michael | 71 |
| 8 | LANGEVELD Sebastian | 67 |
| 9 | MATYSIAK Bartłomiej | 71 |
| 10 | GESINK Robert | 70 |
| 12 | TERPSTRA Niki | 75 |
| 14 | KRUOPIS Aidis | 80 |