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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Kabas
1
60 kgMarbler
2
75 kgSchmidbauer
3
69 kgWafler
4
78 kgBuschek
7
67 kgRiegler
9
65 kgKovar
10
65 kg
1
60 kgMarbler
2
75 kgSchmidbauer
3
69 kgWafler
4
78 kgBuschek
7
67 kgRiegler
9
65 kgKovar
10
65 kg
Weight (KG) →
Result →
78
60
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KABAS Maximilian | 60 |
| 2 | MARBLER Stefan | 75 |
| 3 | SCHMIDBAUER Maximilian | 69 |
| 4 | WAFLER Tim | 78 |
| 7 | BUSCHEK Paul | 67 |
| 9 | RIEGLER Nikolas | 65 |
| 10 | KOVAR Stefan | 65 |