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 - 48
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
13 | SPARFEL Aubin | 59 |
18 | HOLMES Wil | 64 |
26 | SMITH Jeremy | 58 |
28 | GOOLD Max | 59 |
37 | SEIXAS Paul | 61 |
41 | SCHELDEMAN Xander | 66 |
42 | BEISEMBAY Mansur | 73 |
47 | DE GENDT Leander | 51 |
49 | LARRONDE Ellande | 71 |
56 | TRUFFER Carl | 73 |
61 | HEATH Will | 63 |
62 | SCHOOFS Jasper | 68 |
70 | GRÉGOIRE Baptiste | 65 |
72 | MELLANO Ludovico Maria | 65 |
83 | PODLUZHNYY Mikhail | 71 |