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 = 0.8 * weight - 41
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
# | Rider | Weight (KG) |
---|---|---|
1 | ZABEL Erik | 69 |
2 | STEELS Tom | 73 |
6 | MCEWEN Robbie | 67 |
8 | IVANOV Sergei | 73 |
13 | VIERHOUTEN Aart | 71 |
14 | TEUTENBERG Sven | 66 |
16 | VAN BONDT Geert | 71 |
17 | PANKOV Oleg | 72 |
19 | AERTS Mario | 68 |
20 | PIZIKS Arvis | 70 |
21 | THIJS Erwin | 69 |
28 | FEYS Wim | 80 |