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 = -1.1 * weight + 86
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JOHANSEN Julius | 77 |
| 2 | PRICE-PEJTERSEN Johan | 83 |
| 4 | HULGAARD Morten | 73 |
| 5 | GUDNITZ Joshua | 69 |
| 6 | CHARMIG Anthon | 66 |
| 12 | HENNEBERG Magnus | 67 |
| 13 | JENSEN Frederik Irgens | 75 |
| 19 | SANDER HANSEN Marcus | 68 |
| 24 | DAHL Gustav Frederik | 62 |
| 31 | BILDE Thomas | 66 |