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 - 5
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Märkl
4
70 kgStewart
6
66 kgHoole
7
81 kgKierner
8
79 kgDelacroix
9
70 kgGamper
10
86 kg
4
70 kgStewart
6
66 kgHoole
7
81 kgKierner
8
79 kgDelacroix
9
70 kgGamper
10
86 kg
Weight (KG) →
Result →
86
66
4
10
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MÄRKL Niklas | 70 |
| 6 | STEWART Jake | 66 |
| 7 | HOOLE Daan | 81 |
| 8 | KIERNER Florian | 79 |
| 9 | DELACROIX Théo | 70 |
| 10 | GAMPER Florian | 86 |