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) |
|---|---|---|
| 1 | TERPSTRA Niki | 75 |
| 2 | BOOM Lars | 75 |
| 3 | LINDEMAN Bert-Jan | 69 |
| 4 | KREDER Michel | 67 |
| 5 | LANGEVELD Sebastian | 67 |
| 6 | GESINK Robert | 70 |
| 7 | DUMOULIN Tom | 69 |
| 8 | LIGTHART Pim | 72 |
| 9 | TJALLINGII Maarten | 81 |
| 10 | DE KORT Koen | 69 |
| 12 | KELDERMAN Wilco | 65 |
| 13 | CURVERS Roy | 73 |
| 15 | BELLEMAKERS Dirk | 75 |
| 16 | VAN ZANDBEEK Ronan | 72 |