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 - 34
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BÄR Michael | 66 |
3 | AREGGER Marcel | 70 |
6 | REICHENBACH Sébastien | 64 |
9 | THIÈRY Cyrille | 67 |
13 | SAGGIORATO Mirco | 58 |
14 | FUMEAUX Jonathan | 61 |
21 | DILLIER Silvan | 75 |
24 | JAUN Lukas | 66 |
46 | SCHELLING Patrick | 61 |
48 | IMHOF Claudio | 80 |