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 = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Mizbani
1
67 kgKazemi
2
71 kgHasanin
3
75 kgMcCann
5
73 kgSohrabi
6
69 kgAskari
7
73 kg
1
67 kgKazemi
2
71 kgHasanin
3
75 kgMcCann
5
73 kgSohrabi
6
69 kgAskari
7
73 kg
Weight (KG) →
Result →
75
67
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MIZBANI Ghader | 67 |
| 2 | KAZEMI Sarai Ahad | 71 |
| 3 | HASANIN Omar | 75 |
| 5 | MCCANN David | 73 |
| 6 | SOHRABI Mehdi | 69 |
| 7 | ASKARI Hossein | 73 |