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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Wesemann
1
72 kgTotschnig
4
62 kgVoigt
5
76 kgMcRae
7
62 kgWalton
8
68 kg
1
72 kgTotschnig
4
62 kgVoigt
5
76 kgMcRae
7
62 kgWalton
8
68 kg
Weight (KG) →
Result →
76
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WESEMANN Steffen | 72 |
| 4 | TOTSCHNIG Georg | 62 |
| 5 | VOIGT Jens | 76 |
| 7 | MCRAE William Chann | 62 |
| 8 | WALTON Brian | 68 |