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 + 40
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRICE-PEJTERSEN Johan | 83 |
| 2 | SANDER HANSEN Marcus | 68 |
| 3 | JOHANSEN Julius | 77 |
| 4 | LARSEN Mathias Alexander Erik | 72 |
| 5 | JENSEN Frederik Irgens | 75 |
| 6 | PEDERSEN Rasmus Søjberg | 74 |
| 7 | MENGEL Nikolaj | 65 |
| 8 | LOND Daniel | 65 |
| 11 | KÆMPE Stinus Bjerring | 59 |
| 13 | LOCK Dennis | 58 |
| 24 | DUE KASPERSEN Kasper | 76 |
| 27 | DEHN Magnus | 60 |