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 + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOERTS Jans | 78 |
| 2 | KUYCKX Jan | 68 |
| 4 | OMLOOP Geert | 78 |
| 5 | LEUKEMANS Björn | 67 |
| 8 | CAPELLE Ludovic | 75 |
| 11 | COMMEYNE Davy | 70 |
| 12 | CAPPELLE Andy | 71 |
| 16 | VANTHOURENHOUT Sven | 65 |
| 28 | GRABSCH Ralf | 81 |
| 30 | VANLANDSCHOOT James | 67 |