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 + 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | WACKERMANN Luca | 68 |
3 | ARERUYA Joseph | 74 |
8 | ŠIŠKEVIČIUS Paulius | 70 |
10 | HAAS Christian | 60 |
12 | OKUBAMARIAM Tesfom | 60 |
18 | NOUISRI Ali | 74 |
24 | DŽERVUS Darijus | 77 |
32 | VAITKUS Tomas | 75 |
38 | AFEWERKI Elyas | 63 |