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 + 17
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 |
| 10 | TAMAMES Agustín | 66 |
| 14 | PRIEM Cees | 75 |
| 16 | ELORRIAGA Javier Francisco | 85 |
| 21 | AJA Gonzalo | 66 |
| 23 | VAN DEN HOEK Aad | 77 |
| 32 | DEN HERTOG Fedor | 76 |
| 41 | DÍAZ Ventura | 72 |
| 50 | NISTAL Tomás | 68 |
| 51 | GILSON Roger | 70 |
| 56 | ALLAN Donald | 73 |
| 58 | ROSIERS Roger | 78 |
| 61 | KARSTENS Gerben | 74 |