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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | BRENNAN Matthew | 68 |
2 | WIDAR Jarno | 54 |
3 | DE SCHUYTENEER Steffen | 74 |
6 | GRUSZCZYNSKI Filip | 60 |
8 | BISIAUX Léo | 58 |
9 | JUST PEDERSEN Carl Emil | 80 |
10 | CRABBE Tom | 70 |
12 | DOCKX Gilles | 61 |
14 | VANDEVORST Nio | 74 |