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 + 14
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Háva
1
62 kgThalmann
2
75 kgOvion
3
64 kgMitteregger
6
68 kgHuelamo
8
61 kg
1
62 kgThalmann
2
75 kgOvion
3
64 kgMitteregger
6
68 kgHuelamo
8
61 kg
Weight (KG) →
Result →
75
61
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HÁVA Jiří | 62 |
| 2 | THALMANN Robert | 75 |
| 3 | OVION Régis | 64 |
| 6 | MITTEREGGER Rudolf | 68 |
| 8 | HUELAMO Jaime | 61 |