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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LANG Sebastian | 77 |
| 2 | RICH Michael | 82 |
| 3 | VOIGT Jens | 76 |
| 4 | MÜLLER Christian | 69 |
| 5 | POLLACK Olaf | 77 |
| 7 | EICHLER Markus | 78 |
| 10 | BARTKO Robert | 78 |
| 11 | MÜLLER Martin | 79 |
| 12 | BENGSCH Robert | 85 |
| 13 | BOMMEL Henning | 75 |
| 18 | MAMOS Philipp | 72 |