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 = -0.6 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MALMBERG Matias | 68 |
| 2 | JØRGENSEN Adam Holm | 68 |
| 4 | PEDERSEN Rasmus Søjberg | 74 |
| 5 | GUDNITZ Joshua | 69 |
| 6 | MENGEL Nikolaj | 65 |
| 7 | HANSEN Alexander Arnt | 68 |
| 8 | WANG Gustav | 70 |
| 11 | MIKKELSEN Pelle Køster | 72 |
| 12 | LOCK Dennis | 58 |
| 16 | DAHL Gustav Frederik | 62 |
| 26 | LARSEN Ruben Zilas | 70 |
| 27 | OLSEN Rasmus Bisgaard | 62 |