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 - 11
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Blaudzun
2
66 kgBaranowski
3
68 kgVoigt
4
76 kgHundertmarck
7
72 kgGrabsch
9
81 kgVinokourov
10
68 kg
2
66 kgBaranowski
3
68 kgVoigt
4
76 kgHundertmarck
7
72 kgGrabsch
9
81 kgVinokourov
10
68 kg
Weight (KG) →
Result →
81
66
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BLAUDZUN Michael | 66 |
| 3 | BARANOWSKI Dariusz | 68 |
| 4 | VOIGT Jens | 76 |
| 7 | HUNDERTMARCK Kai | 72 |
| 9 | GRABSCH Ralf | 81 |
| 10 | VINOKOUROV Alexandre | 68 |