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 = -0.7 * weight + 61
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HAYMAN Mathew | 78 |
| 3 | SCHRECK Stephan | 76 |
| 5 | ENGELS Addy | 64 |
| 7 | HULSMANS Kevin | 75 |
| 8 | JOLY Sébastien | 74 |
| 9 | LEUKEMANS Björn | 67 |
| 13 | KUYCKX Jan | 68 |
| 14 | BRANDT Christophe | 66 |
| 15 | VANLANDSCHOOT James | 67 |
| 19 | CAPPELLE Andy | 71 |
| 20 | TALABARDON Sébastien | 67 |