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 = 0.8 * weight - 46
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HUSHOVD Thor | 83 |
| 3 | ANDERSSON Michael | 71 |
| 4 | BARRY Michael | 72 |
| 7 | CARLSTRÖM Kjell | 70 |
| 10 | ARVESEN Kurt-Asle | 74 |
| 12 | HØYDAL Rune | 72 |
| 13 | RASCH Gabriel | 72 |
| 15 | LJUNGBLAD Jonas | 70 |
| 31 | JOHNSEN Lars Kristian | 70 |
| 46 | AUG Andrus | 83 |