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 + 22
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | SCHOOFS Jasper | 68 |
5 | SEIXAS Paul | 61 |
6 | HOLMES Wil | 64 |
7 | SPARFEL Aubin | 59 |
22 | SMITH Jeremy | 58 |
25 | GOOLD Max | 59 |
37 | BEISEMBAY Mansur | 73 |
41 | MELLANO Ludovico Maria | 65 |
42 | SCHELDEMAN Xander | 66 |
46 | GRÉGOIRE Baptiste | 65 |
52 | PODLUZHNYY Mikhail | 71 |
55 | LARRONDE Ellande | 71 |
60 | HEATH Will | 63 |
67 | DE GENDT Leander | 51 |