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.
Fukushima
2
62 kgMcCann
6
73 kgWinn
10
70 kgChan
12
70 kgBrammeier
17
72 kgReid
21
62 kg
2
62 kgMcCann
6
73 kgWinn
10
70 kgChan
12
70 kgBrammeier
17
72 kgReid
21
62 kg
Weight (KG) →
Result →
73
62
2
21
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | FUKUSHIMA Shinichi | 62 |
| 6 | MCCANN David | 73 |
| 10 | WINN Julian | 70 |
| 12 | CHAN Chun Hing | 70 |
| 17 | BRAMMEIER Matt | 72 |
| 21 | REID Robin | 62 |