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 = -0.5 * weight + 54
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | BAUMANN Eric | 72 |
3 | DE FAUW Dimitri | 77 |
4 | SENTJENS Roy | 75 |
5 | KOPP David | 68 |
11 | MUTSAARS Ronald | 67 |
12 | DION Renaud | 65 |
13 | DE WEERT Kevin | 70 |
14 | ELIJZEN Michiel | 80 |
24 | DE WILDE Sjef | 74 |
25 | DUCLOS-LASSALLE Hervé | 63 |
26 | ROLLIN Dominique | 83 |
30 | FOTHEN Markus | 71 |
31 | VAN HUMMEL Kenny | 64 |
32 | LELAY David | 67 |
33 | RETSCHKE Robert | 66 |