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 + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Saleh
1
70 kgKaňkovský
2
83 kgAsadov
3
77 kgSefa
4
72 kgSizko
7
70 kgSaleh
12
58 kg
1
70 kgKaňkovský
2
83 kgAsadov
3
77 kgSefa
4
72 kgSizko
7
70 kgSaleh
12
58 kg
Weight (KG) →
Result →
83
58
1
12
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SALEH Mohd Harrif | 70 |
| 2 | KAŇKOVSKÝ Alois | 83 |
| 3 | ASADOV Elchin | 77 |
| 4 | SEFA Ylber | 72 |
| 7 | SIZKO Antti | 70 |
| 12 | SALEH Mohd Zamri | 58 |