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 = 0.8 * weight - 36
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PEDERSEN Rasmus Søjberg | 74 |
| 4 | DAHL Gustav Frederik | 62 |
| 5 | LOCK Dennis | 58 |
| 9 | GUDNITZ Joshua | 69 |
| 11 | MUNK-OLSEN Oscar | 68 |
| 12 | MENGEL Nikolaj | 65 |
| 14 | LOND Daniel | 65 |
| 18 | HANSEN Alexander Arnt | 68 |
| 20 | NIELSEN Magnus Lorents | 69 |
| 23 | JØRGENSEN Adam Holm | 68 |
| 24 | MALMBERG Matias | 68 |
| 26 | AAGAARD HANSEN Tobias | 77 |
| 27 | VOSGERAU Søren | 69 |
| 32 | ØHLENSCHLÆGER Kasper Jul | 66 |
| 38 | YANG Boxuan | 63 |
| 44 | DUE KASPERSEN Kasper | 76 |