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 = -0.2 * weight + 27
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FOSS Tobias | 74 |
| 2 | LEKNESSUND Andreas | 72 |
| 3 | WÆRENSKJOLD Søren | 92 |
| 5 | NORDHAGEN Jørgen | 59 |
| 6 | ÅRNES Daniel | 80 |
| 8 | DOLVEN Halvor | 74 |
| 9 | HAUGLAND Kasper | 74 |
| 11 | HOLTHER Trym Westgaard | 68 |
| 12 | HØYDAHL Jonas Kind | 67 |
| 13 | DAHL Marius Innhaug | 68 |
| 14 | RAVNØY Johan | 78 |
| 23 | STIANSEN Jesper | 67 |