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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOOIJ André | 75 |
| 2 | BENOOT Tiesj | 72 |
| 3 | GOOLAERTS Michael | 80 |
| 4 | BIEDERMANN Daniel | 67 |
| 6 | VAN LERBERGHE Bert | 83 |
| 7 | MANNAERTS Jelle | 73 |
| 9 | KOZHATAYEV Bakhtiyar | 62 |
| 10 | TEUNISSEN Mike | 73 |
| 12 | DEMOITIÉ Antoine | 69 |
| 13 | MYNGHEER Daan | 74 |
| 14 | DOULL Owain | 71 |
| 15 | COENEN Dennis | 69 |
| 17 | VAN ZUMMEREN Stef | 73 |