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 = -0.3 * weight + 22
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | MACKAIJ Floortje | 57 |
2 | KOPECKY Lotte | 66 |
4 | KOSTER Anouska | 56 |
5 | HARRIS Ella | 57 |
6 | LONGO BORGHINI Elisa | 59 |
7 | SHAPIRA Omer | 58 |
8 | NEYLAN Rachel | 52 |
10 | LIPPERT Liane | 56 |
11 | VANDENBULCKE Jesse | 60 |