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 = -1.1 * weight + 88
This means that on average for every extra kilogram weight a rider loses -1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Tony | 75 |
| 2 | ARNDT Nikias | 77.5 |
| 3 | SCHUMACHER Stefan | 71 |
| 5 | KNEES Christian | 81 |
| 6 | WESTMATTELMANN Daniel | 75 |
| 7 | GRETSCH Patrick | 69 |
| 8 | SÜTTERLIN Jasha | 78 |
| 13 | MÜLLER Christian | 69 |
| 22 | KOCH Michel | 69 |
| 23 | GAEBEL Stefan | 68 |