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 + 131
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
4 | SCHULZE André | 70 |
7 | ADAMSSON Stefan | 68 |
15 | MURAVYEV Dmitriy | 75 |
20 | LJUNGBLAD Jonas | 70 |
29 | KASHECHKIN Andrey | 70 |
31 | SCHLECK Fränk | 65 |
36 | SOUTHAM Tom | 69 |
40 | KIRCHEN Kim | 68 |
41 | VAN GOOLEN Jurgen | 70 |