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 = -0.4 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Mizbani
1
67 kgAskari
2
73 kgTashiro
3
54 kgKazemi
4
71 kgChan
6
70 kgAbe
9
67 kgZargari
11
62 kgWijaya
20
58 kg
1
67 kgAskari
2
73 kgTashiro
3
54 kgKazemi
4
71 kgChan
6
70 kgAbe
9
67 kgZargari
11
62 kgWijaya
20
58 kg
Weight (KG) →
Result →
73
54
1
20
| # | 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 |
| 9 | ABE Yoshiyuki | 67 |
| 11 | ZARGARI Amir | 62 |
| 20 | WIJAYA Endra | 58 |