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 + 13
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Moazemi
2
70 kgMirza
4
60 kgCahyadi
6
52 kgPujol
9
58 kgSafarzadeh
10
66 kgZargari
11
62 kg
2
70 kgMirza
4
60 kgCahyadi
6
52 kgPujol
9
58 kgSafarzadeh
10
66 kgZargari
11
62 kg
Weight (KG) →
Result →
70
52
2
11
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MOAZEMI Arvin | 70 |
| 4 | MIRZA Yousif | 60 |
| 6 | CAHYADI Aiman | 52 |
| 9 | PUJOL Óscar | 58 |
| 10 | SAFARZADEH Saeid | 66 |
| 11 | ZARGARI Amir | 62 |