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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER KOOIJ Bas | 70 |
| 2 | REKITA Szymon | 70 |
| 3 | VAN DER POEL Mathieu | 75 |
| 4 | LONARDI Giovanni | 70 |
| 5 | FOUCHÉ James | 71 |
| 6 | LÓPEZ Juan Pedro | 60 |
| 7 | DE BONDT Dries | 73 |
| 8 | RAJOVIĆ Dušan | 74 |
| 9 | JANS Roy | 68 |
| 11 | PLAZA Rubén | 77 |
| 12 | SAMOILAU Branislau | 77 |
| 13 | O'LOUGHLIN Michael | 72 |
| 14 | CARSTENSEN Lucas | 69 |
| 15 | VALTER Attila | 65 |
| 16 | KRIEGER Alexander | 71 |