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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Kabas
1
60 kgGötzinger
3
71 kgMaier
5
67 kgReiter
6
69 kgRiegler
9
65 kg
1
60 kgGötzinger
3
71 kgMaier
5
67 kgReiter
6
69 kgRiegler
9
65 kg
Weight (KG) →
Result →
71
60
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KABAS Maximilian | 60 |
| 3 | GÖTZINGER Valentin | 71 |
| 5 | MAIER Florian | 67 |
| 6 | REITER Jakob | 69 |
| 9 | RIEGLER Nikolas | 65 |