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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ASGREEN Kasper | 75 |
| 2 | MADSEN Martin Toft | 67 |
| 3 | MUFF Frederik | 78 |
| 4 | GUDNITZ Joshua | 69 |
| 6 | RAHBEK Mads | 66 |
| 7 | JOHANSEN Julius | 77 |
| 8 | PRICE-PEJTERSEN Johan | 83 |
| 9 | CHARMIG Anthon | 66 |
| 10 | BREGNHØJ Mathias | 63 |
| 21 | NYBORG BROGE Nils Lau | 75 |
| 22 | IVERSEN Rasmus Byriel | 77 |
| 23 | SANDER HANSEN Marcus | 68 |
| 25 | BRIXEN Andreas Aidel | 73 |