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 = -1.9 * weight + 165
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VESTØL Bjørnar | 85 |
| 2 | BARRY Michael | 72 |
| 3 | CARLSTRÖM Kjell | 70 |
| 4 | HUSHOVD Thor | 83 |
| 6 | ARVESEN Kurt-Asle | 74 |
| 7 | HEGREBERG Morten | 72 |
| 8 | ANDERSSON Michael | 71 |
| 14 | CORDES Tom | 70 |
| 21 | RASCH Gabriel | 72 |
| 23 | AUG Andrus | 83 |
| 29 | LJUNGBLAD Jonas | 70 |
| 32 | HØYDAL Rune | 72 |
| 61 | JOHNSEN Lars Kristian | 70 |
| 67 | KAGGESTAD Mads | 66 |
| 86 | KRISTIANSEN Øyvind | 72 |