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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LEEZER Tom | 76 |
| 3 | STAMSNIJDER Tom | 76 |
| 4 | VAN AMERONGEN Thijs | 70 |
| 6 | LANGEVELD Sebastian | 67 |
| 9 | BOOM Lars | 75 |
| 10 | REUS Kai | 70 |
| 14 | DE JONGE Maarten | 65 |
| 23 | TIMMER Albert | 77 |
| 27 | RUIJGH Rob | 64 |
| 32 | DE BAAT Arjen | 66 |
| 35 | GESINK Robert | 70 |
| 47 | VAN EMDEN Jos | 78 |