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 = -0.6 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEGENKOLB John | 82 |
| 2 | KOCH Michel | 69 |
| 6 | ARNDT Nikias | 77.5 |
| 13 | REINHARDT Theo | 72 |
| 15 | WERDA Maximilian | 66 |
| 20 | THURAU Björn | 73 |
| 28 | KERN Julian | 65 |
| 33 | HESSELBARTH David | 65 |
| 35 | KOEP Thomas | 78 |
| 37 | QUAST Ole | 67 |
| 39 | HOLLER Nikodemus | 58 |
| 48 | SELIG Rüdiger | 80 |
| 56 | KRIEGER Alexander | 71 |
| 64 | BICHLMANN Daniel | 72 |
| 89 | SCHNAIDT Fabian | 70 |