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 = -1.7 * weight + 141
This means that on average for every extra kilogram weight a rider loses -1.7 positions in the result.
Park
3
73 kgMiura
9
67 kgReid
26
62 kgAskari
29
73 kgMizbani
41
67 kgLloyd
42
70 kgJawad
47
58 kgMukaigawa
50
64 kg
3
73 kgMiura
9
67 kgReid
26
62 kgAskari
29
73 kgMizbani
41
67 kgLloyd
42
70 kgJawad
47
58 kgMukaigawa
50
64 kg
Weight (KG) →
Result →
73
58
3
50
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | PARK Sung Baek | 73 |
| 9 | MIURA Kyoshi | 67 |
| 26 | REID Robin | 62 |
| 29 | ASKARI Hossein | 73 |
| 41 | MIZBANI Ghader | 67 |
| 42 | LLOYD Daniel | 70 |
| 47 | JAWAD Mansoor | 58 |
| 50 | MUKAIGAWA Naoki | 64 |