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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
2 | ROESEMS Bert | 81 |
3 | KLIER Andreas | 72 |
7 | SCHEP Peter | 80 |
8 | HASELBACHER René | 69 |
9 | PIĄTEK Zbigniew | 71 |
10 | YAKOVLEV Serguei | 70 |
12 | BRUYLANDTS Dave | 63 |
14 | FEYS Wim | 80 |
18 | VAN DIJK Stefan | 74 |
20 | CRETSKENS Wilfried | 75 |
22 | THIJS Erwin | 69 |
26 | PEERS Chris | 73 |
27 | VAN LANCKER Kurt | 67 |