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 = -1.1 * weight + 99
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WANG Gustav | 70 |
| 3 | ROSENLUND Stian | 72 |
| 4 | MIKKELSEN Pelle Køster | 72 |
| 6 | MENGEL Nikolaj | 65 |
| 8 | HANSEN Alexander Arnt | 68 |
| 9 | AAGAARD HANSEN Tobias | 77 |
| 12 | PEDERSEN Rasmus Søjberg | 74 |
| 13 | ANDRESEN Tobias Lund | 69 |
| 14 | BRUUN VAN DEURS Hugo | 74 |
| 15 | LOND Daniel | 65 |
| 18 | LOCK Dennis | 58 |
| 37 | KJELDSEN Christian Spang | 69 |
| 40 | ERRINGSØ Frederik | 67 |
| 41 | DUE KASPERSEN Kasper | 76 |
| 48 | OLSEN Rasmus Bisgaard | 62 |
| 58 | YANG Boxuan | 63 |