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 + 44
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | DE VLAEMINCK Roger | 74 |
6 | ELORRIAGA Javier Francisco | 85 |
10 | ALLAN Donald | 73 |
14 | AJA Gonzalo | 66 |
19 | TAMAMES Agustín | 66 |
20 | MARCUSSEN Jørgen | 70 |
25 | DÍAZ Ventura | 72 |
26 | DEN HERTOG Fedor | 76 |
27 | GAVAZZI Pierino | 67 |
29 | GILSON Roger | 70 |
62 | PRIEM Cees | 75 |