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 = -0.2 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
Mizbani
1
67 kgAskari
2
73 kgTashiro
3
54 kgKazemi
4
71 kgChan
6
70 kgZargari
8
62 kgWijaya
16
58 kgAbe
27
67 kg
1
67 kgAskari
2
73 kgTashiro
3
54 kgKazemi
4
71 kgChan
6
70 kgZargari
8
62 kgWijaya
16
58 kgAbe
27
67 kg
Weight (KG) →
Result →
73
54
1
27
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | ASKARI Hossein | 73 |
| 3 | TASHIRO Yasutaka | 54 |
| 4 | KAZEMI Sarai Ahad | 71 |
| 6 | CHAN Chun Hing | 70 |
| 8 | ZARGARI Amir | 62 |
| 16 | WIJAYA Endra | 58 |
| 27 | ABE Yoshiyuki | 67 |