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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | RICH Michael | 82 |
2 | LANG Sebastian | 77 |
3 | VOIGT Jens | 76 |
4 | BECKE Daniel | 75 |
5 | MÜLLER Christian | 69 |
6 | LIESE Thomas | 75 |
7 | FOTHEN Markus | 71 |
10 | SCHRÖDER Björn | 64 |
13 | BURGHARDT Marcus | 75 |
14 | KNEES Christian | 81 |