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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BAARLE Dylan | 78 |
| 3 | VON HOFF Steele | 70 |
| 4 | FREIBERG Michael | 82 |
| 5 | VAN POPPEL Danny | 82 |
| 6 | ARIESEN Johim | 70 |
| 7 | KUZNETSOV Viacheslav | 70 |
| 8 | PFINGSTEN Christoph | 69 |
| 9 | DENNIS Rohan | 72 |
| 10 | CHAIGNEAU Robin | 80 |