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 + 20
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 kgWadecki
5
70 kgMcRae
6
62 kgBlaudzun
8
66 kgOzols
10
74 kg
1
75 kgWesemann
2
72 kgWadecki
5
70 kgMcRae
6
62 kgBlaudzun
8
66 kgOzols
10
74 kg
Weight (KG) →
Result →
75
62
1
10
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LIESE Thomas | 75 |
| 2 | WESEMANN Steffen | 72 |
| 5 | WADECKI Piotr | 70 |
| 6 | MCRAE William Chann | 62 |
| 8 | BLAUDZUN Michael | 66 |
| 10 | OZOLS Dainis | 74 |