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.
Liese
1
75 kgWesemann
2
72 kgGrabsch
3
78 kgMcRae
5
62 kgVoigt
6
76 kgWalton
8
68 kgTotschnig
9
62 kgOzols
10
74 kg
1
75 kgWesemann
2
72 kgGrabsch
3
78 kgMcRae
5
62 kgVoigt
6
76 kgWalton
8
68 kgTotschnig
9
62 kgOzols
10
74 kg
Weight (KG) →
Result →
78
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIESE Thomas | 75 |
| 2 | WESEMANN Steffen | 72 |
| 3 | GRABSCH Bert | 78 |
| 5 | MCRAE William Chann | 62 |
| 6 | VOIGT Jens | 76 |
| 8 | WALTON Brian | 68 |
| 9 | TOTSCHNIG Georg | 62 |
| 10 | OZOLS Dainis | 74 |