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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Mizbani
1
67 kgKazemi
2
71 kgAskari
3
73 kgTashiro
4
54 kgChan
9
70 kgZargari
12
62 kg
1
67 kgKazemi
2
71 kgAskari
3
73 kgTashiro
4
54 kgChan
9
70 kgZargari
12
62 kg
Weight (KG) →
Result →
73
54
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | KAZEMI Sarai Ahad | 71 |
| 3 | ASKARI Hossein | 73 |
| 4 | TASHIRO Yasutaka | 54 |
| 9 | CHAN Chun Hing | 70 |
| 12 | ZARGARI Amir | 62 |