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 = 0.6 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER MEULEN Max | 67 |
| 2 | AUGUST Andrew | 57 |
| 4 | TOUSSAINT Wouter | 64 |
| 6 | RAGILO Frank Aron | 70 |
| 9 | BRETHOUWER Yorick | 69 |
| 10 | HAUGLAND Kasper | 74 |
| 11 | VALENTI Luke | 69 |
| 13 | VAN MECHELEN Vlad | 78 |
| 14 | CHAMBERLAIN Oscar | 74 |