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 = -0.4 * weight + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTIN Tony | 75 |
| 2 | SÜTTERLIN Jasha | 78 |
| 3 | POLITT Nils | 80 |
| 4 | SCHACHMANN Maximilian | 71 |
| 5 | WESTMATTELMANN Daniel | 75 |
| 6 | MATHIS Marco | 71 |
| 7 | KÄMNA Lennard | 65 |
| 8 | WOLF Justin | 85 |
| 9 | WEINSTEIN Domenic | 80 |
| 10 | ZEPUNTKE Ruben | 76 |
| 11 | DENZ Nico | 71 |
| 21 | HOOPS Gregor | 72 |
| 22 | GAEBEL Stefan | 68 |