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 = 0.7 * weight - 14
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Zargari
2
62 kgWijaya
25
58 kgChan
37
70 kgMizbani
38
67 kgAskari
39
73 kgTashiro
42
54 kgKazemi
46
71 kgAbe
47
67 kg
2
62 kgWijaya
25
58 kgChan
37
70 kgMizbani
38
67 kgAskari
39
73 kgTashiro
42
54 kgKazemi
46
71 kgAbe
47
67 kg
Weight (KG) →
Result →
73
54
2
47
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZARGARI Amir | 62 |
| 25 | WIJAYA Endra | 58 |
| 37 | CHAN Chun Hing | 70 |
| 38 | MIZBANI Ghader | 67 |
| 39 | ASKARI Hossein | 73 |
| 42 | TASHIRO Yasutaka | 54 |
| 46 | KAZEMI Sarai Ahad | 71 |
| 47 | ABE Yoshiyuki | 67 |