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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VOGELS Henk | 75 |
| 3 | VAN DER STEEN Niels | 70 |
| 4 | D'HOLLANDER Glenn | 74 |
| 5 | BÄCKSTEDT Magnus | 94 |
| 6 | HUNT Jeremy | 76 |
| 7 | IVANOV Sergei | 73 |
| 10 | AEBERSOLD Niki | 58 |
| 11 | MOERENHOUT Koos | 74 |
| 14 | VANSEVENANT Wim | 65 |
| 16 | BLAUDZUN Michael | 66 |
| 19 | AERTS Mario | 68 |
| 20 | JAKSCHE Jörg | 69 |