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 = 1.1 * weight - 66
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | OOMEN Sam | 65 |
| 2 | KRUL Stef | 68 |
| 5 | TIETEMA Bas | 74 |
| 8 | WOUTERS Sieben | 67 |
| 9 | MAAS Jan | 70 |
| 13 | LOOIJ André | 75 |
| 15 | WIJKEL Stan | 73 |
| 16 | BUDDING Martijn | 74 |
| 18 | DE VRIES Hartthijs | 66 |
| 20 | BOL Cees | 83 |
| 24 | JANSSEN Adriaan | 76 |
| 36 | TALEN Jordi | 76 |