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 = -1.3 * weight + 119
This means that on average for every extra kilogram weight a rider loses -1.3 positions in the result.
Park
1
73 kgMiura
9
67 kgLloyd
17
70 kgJawad
24
58 kgReid
28
62 kgAskari
31
73 kgMizbani
64
67 kgMukaigawa
69
64 kg
1
73 kgMiura
9
67 kgLloyd
17
70 kgJawad
24
58 kgReid
28
62 kgAskari
31
73 kgMizbani
64
67 kgMukaigawa
69
64 kg
Weight (KG) →
Result →
73
58
1
69
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 9 | MIURA Kyoshi | 67 |
| 17 | LLOYD Daniel | 70 |
| 24 | JAWAD Mansoor | 58 |
| 28 | REID Robin | 62 |
| 31 | ASKARI Hossein | 73 |
| 64 | MIZBANI Ghader | 67 |
| 69 | MUKAIGAWA Naoki | 64 |