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 + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Fukushima
4
62 kgMcCann
5
73 kgChan
8
70 kgWinn
10
70 kgReid
16
62 kgIrvine
18
80 kgBrammeier
23
72 kgMiyazawa
26
61 kg
4
62 kgMcCann
5
73 kgChan
8
70 kgWinn
10
70 kgReid
16
62 kgIrvine
18
80 kgBrammeier
23
72 kgMiyazawa
26
61 kg
Weight (KG) →
Result →
80
61
4
26
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | FUKUSHIMA Shinichi | 62 |
| 5 | MCCANN David | 73 |
| 8 | CHAN Chun Hing | 70 |
| 10 | WINN Julian | 70 |
| 16 | REID Robin | 62 |
| 18 | IRVINE Martyn | 80 |
| 23 | BRAMMEIER Matt | 72 |
| 26 | MIYAZAWA Takashi | 61 |