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 = 1.5 * weight - 76
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILSON Roger | 70 |
| 6 | PRIEM Cees | 75 |
| 8 | KUIPER Hennie | 69 |
| 13 | ALLAN Donald | 73 |
| 14 | ELORRIAGA Javier Francisco | 85 |
| 16 | NISTAL Tomás | 68 |
| 28 | AJA Gonzalo | 66 |
| 30 | TAMAMES Agustín | 66 |
| 32 | DÍAZ Ventura | 72 |
| 54 | DEN HERTOG Fedor | 76 |
| 60 | VAN DEN HOEK Aad | 77 |
| 64 | KARSTENS Gerben | 74 |
| 84 | ROSIERS Roger | 78 |