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 = -1.4 * weight + 126
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | JUST PEDERSEN Carl Emil | 80 |
| 10 | TOFTEMARK Lucas | 73 |
| 14 | LIHN Toke | 75 |
| 16 | ØSTERGAARD Lukas | 90 |
| 17 | BRUUN VAN DEURS Hugo | 74 |
| 22 | KONGSTAD Alfred | 75 |
| 43 | HOBOLTH Marius | 71 |
| 46 | NIELSEN Daniel Weis | 60 |
| 47 | TVERGAARD Mikkel | 72 |
| 52 | BOSSEN Magne | 55 |