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 * weight + 6
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
Märkl
5
70 kgHoole
6
81 kgKierner
7
79 kgZijlaard
8
73 kgStewart
9
66 kgDelacroix
13
70 kgRöber
15
68 kgGamper
16
86 kg
5
70 kgHoole
6
81 kgKierner
7
79 kgZijlaard
8
73 kgStewart
9
66 kgDelacroix
13
70 kgRöber
15
68 kgGamper
16
86 kg
Weight (KG) →
Result →
86
66
5
16
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | MÄRKL Niklas | 70 |
| 6 | HOOLE Daan | 81 |
| 7 | KIERNER Florian | 79 |
| 8 | ZIJLAARD Maikel | 73 |
| 9 | STEWART Jake | 66 |
| 13 | DELACROIX Théo | 70 |
| 15 | RÖBER Dominik | 68 |
| 16 | GAMPER Florian | 86 |