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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | WANG Gustav | 70 |
| 3 | GUDNITZ Joshua | 69 |
| 4 | PEDERSEN Rasmus Søjberg | 74 |
| 5 | MIKKELSEN Pelle Køster | 72 |
| 8 | AAGAARD HANSEN Tobias | 77 |
| 12 | HANSEN Alexander Arnt | 68 |
| 14 | TOFTEMARK Lucas | 73 |
| 18 | BRUUN VAN DEURS Hugo | 74 |
| 19 | NIELSEN Magnus Lorents | 69 |
| 24 | ØSTERGAARD Lukas | 90 |
| 31 | ØHLENSCHLÆGER Kasper Jul | 66 |
| 38 | HASS SLIVSGAARD Malthe | 65 |