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 = -0.4 * weight + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | STÜSSI Colin | 68 |
3 | ABRAHAMSEN Jonas | 78 |
4 | VANGSTAD Andreas | 70 |
5 | TZORTZAKIS Polychronis | 80 |
7 | MENGOULAS Alex | 66 |
9 | EIKELAND Ken Levi | 68 |
11 | THALMANN Roland | 61 |
12 | DINA Márton | 67 |
14 | WOOD Reece | 67 |