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 | NORMAN LETH Lasse | 75 |
| 2 | KAMP Alexander | 74 |
| 4 | VALGREN Michael | 71 |
| 6 | VINJEBO Emil Mielke | 67 |
| 10 | CORT Magnus | 68 |
| 12 | MUNK Steffen | 67 |
| 18 | FOLSACH Casper | 81 |
| 20 | GARBY Marc Christian | 63 |
| 29 | NYBORG BROGE Nils Lau | 75 |