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 = 0.2 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KUIPER Hennie | 69 |
| 19 | ELORRIAGA Javier Francisco | 85 |
| 20 | DÍAZ Ventura | 72 |
| 21 | AJA Gonzalo | 66 |
| 23 | DEN HERTOG Fedor | 76 |
| 33 | ROSIERS Roger | 78 |
| 41 | VAN DEN HOEK Aad | 77 |
| 51 | KARSTENS Gerben | 74 |
| 53 | GILSON Roger | 70 |
| 55 | PRIEM Cees | 75 |