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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Rollin
1
83 kgDay
4
68 kgO'Loughlin
5
68 kgPate
6
73 kgMamos
7
72 kgTuft
10
77 kgSchillinger
16
72 kg
1
83 kgDay
4
68 kgO'Loughlin
5
68 kgPate
6
73 kgMamos
7
72 kgTuft
10
77 kgSchillinger
16
72 kg
Weight (KG) →
Result →
83
68
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROLLIN Dominique | 83 |
| 4 | DAY Benjamin | 68 |
| 5 | O'LOUGHLIN David | 68 |
| 6 | PATE Danny | 73 |
| 7 | MAMOS Philipp | 72 |
| 10 | TUFT Svein | 77 |
| 16 | SCHILLINGER Andreas | 72 |