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 = -0.1 * weight + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | WIEBES Lorena | 60 |
2 | PATERNOSTER Letizia | 53 |
4 | CONFALONIERI Maria Giulia | 56 |
5 | KOPECKY Lotte | 66 |
6 | COPPONI Clara | 55 |
8 | PALADIN Soraya | 59 |
10 | TEUTENBERG Lea Lin | 53 |
15 | FOURNIER Roxane | 60 |
17 | MAJERUS Christine | 56 |