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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GREGAARD Jonas | 66 |
| 2 | PLANCKAERT Emiel | 69 |
| 5 | KURIANOV Stepan | 74 |
| 8 | WILLEMS Thimo | 67 |
| 9 | CRAS Steff | 65 |
| 10 | SCHULTZ Jesper | 60 |
| 11 | VAN DER BEKEN Arno | 64 |
| 13 | HERREMANS Zino | 68 |
| 18 | MAITRE Florian | 71 |
| 19 | GAREL Adrien | 77 |