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 | MARTIN Tony | 75 |
| 2 | SÜTTERLIN Jasha | 78 |
| 3 | ARNDT Nikias | 77.5 |
| 4 | SCHACHMANN Maximilian | 71 |
| 5 | POLITT Nils | 80 |
| 6 | WOLF Justin | 85 |
| 7 | MATHIS Marco | 71 |
| 8 | OSBORNE Jason | 70 |
| 9 | WESTMATTELMANN Daniel | 75 |
| 12 | KOCH Jonas | 75 |