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 + 22
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOLDAGER Anders | 69 |
| 3 | BETTENDORFF Loïc | 74 |
| 5 | POMORSKI Michał | 76 |
| 6 | TENE Rotem | 72 |
| 7 | FREDHEIM Stian | 72 |
| 8 | PICKRELL Riley | 72 |
| 9 | VAN MECHELEN Vlad | 73 |
| 10 | BUSATTO Francesco | 62 |
| 13 | KOGUT Oded | 77 |
| 14 | SIMMONS Colby | 68 |
| 16 | DEL GROSSO Tibor | 70 |