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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SAGAN Peter | 78 |
| 2 | STETINA Peter | 63 |
| 3 | PETERSON Tom | 70 |
| 4 | VAN GARDEREN Tejay | 72 |
| 5 | BOILY David | 60 |
| 6 | BUTLER Chris | 61 |
| 7 | JENKINS Max | 63 |
| 8 | BEYER Chad | 63 |
| 9 | REIJNEN Kiel | 63 |
| 10 | MAES Nikolas | 78 |
| 11 | STAUFF Andreas | 82 |