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 + 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | PRONSKIY Vadim | 58 |
| 5 | RIES Michel | 67 |
| 7 | RUTSCH Jonas | 82 |
| 8 | PHILIPSEN Jasper | 75 |
| 10 | JULLIEN Anthony | 72 |
| 18 | VAN DER HORST Dennis | 62 |
| 21 | TRACZ Szymon | 74 |
| 25 | WEEMAES Sasha | 73 |