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 kgSohrabi
2
69 kgAskari
3
73 kgWacker
5
65 kgZargari
6
62 kgSaeidi Tanha
8
70 kg
1
67 kgSohrabi
2
69 kgAskari
3
73 kgWacker
5
65 kgZargari
6
62 kgSaeidi Tanha
8
70 kg
Weight (KG) →
Result →
73
62
1
8
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | SOHRABI Mehdi | 69 |
| 3 | ASKARI Hossein | 73 |
| 5 | WACKER Eugen | 65 |
| 6 | ZARGARI Amir | 62 |
| 8 | SAEIDI TANHA Abbas | 70 |