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 = -0.7 * weight + 68
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | JANSSEN Lucas | 67 |
| 4 | ABMA Elmar | 86 |
| 6 | LOUWERENSEN Tijn | 67 |
| 8 | KRAMER Jesse | 74 |
| 10 | DE JONG Nino | 64 |
| 13 | DE GRUIJTER Joren | 71 |
| 14 | DUBA Maxime | 85 |
| 15 | VEENINGS Pepijn | 79 |
| 22 | REINDERINK Joris | 59 |
| 24 | KONINGS Roan | 69 |
| 28 | VAN DORP Vincent | 76 |
| 31 | VAN DER MEULEN Max | 67 |
| 32 | SMULDERS Vik | 69 |
| 39 | SCHAPER Marijn | 69 |
| 51 | KRANENBURG Joris | 62 |