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 = -0.1 * weight + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | FOTHEN Markus | 71 |
2 | SZMYD Sylwester | 60 |
4 | SCHUMACHER Stefan | 71 |
5 | YAKOVLEV Serguei | 70 |
7 | SABALIAUSKAS Marius | 76 |
8 | AERTS Mario | 68 |
12 | MONTGOMERY Sven | 62 |
13 | KVASINA Matija | 72 |
14 | NÜTTLI Jean | 70 |
16 | GLASNER Björn | 72 |
17 | IVANOV Sergei | 73 |
18 | LUDEWIG Jörg | 75 |
21 | DEKKER Thomas | 69 |
24 | AERNOUTS Bart | 60 |