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.
Liese
2
75 kgWadecki
3
70 kgWesemann
4
72 kgRiis
6
71 kgMcRae
7
62 kgBlaudzun
9
66 kgSchreck
10
76 kg
2
75 kgWadecki
3
70 kgWesemann
4
72 kgRiis
6
71 kgMcRae
7
62 kgBlaudzun
9
66 kgSchreck
10
76 kg
Weight (KG) →
Result →
76
62
2
10
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LIESE Thomas | 75 |
| 3 | WADECKI Piotr | 70 |
| 4 | WESEMANN Steffen | 72 |
| 6 | RIIS Bjarne | 71 |
| 7 | MCRAE William Chann | 62 |
| 9 | BLAUDZUN Michael | 66 |
| 10 | SCHRECK Stephan | 76 |