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 = -0.4 * weight + 36
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TAILLIEU Aldo | 68 |
| 5 | REMIJN Senna | 68 |
| 6 | ØRN-KRISTOFF Felix | 76 |
| 7 | DAHL Marius Innhaug | 68 |
| 9 | ŠUMPÍK Pavel | 63 |
| 12 | JUST PEDERSEN Carl Emil | 80 |
| 13 | FIETZKE Paul | 60 |
| 14 | JACKOWIAK Jan Michal | 65 |
| 16 | LARSSON Linus | 60 |
| 19 | OMRZEL Jakob | 62 |
| 20 | NAGENGAST Ruud Junior | 62 |
| 24 | SCHAPER Joeri | 69 |