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 = -0.5 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Kaňkovský
1
83 kgAsadov
2
77 kgSaleh
3
70 kgSefa
6
72 kgKhalmuratov
10
68 kgSaleh
13
58 kg
1
83 kgAsadov
2
77 kgSaleh
3
70 kgSefa
6
72 kgKhalmuratov
10
68 kgSaleh
13
58 kg
Weight (KG) →
Result →
83
58
1
13
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KAŇKOVSKÝ Alois | 83 |
| 2 | ASADOV Elchin | 77 |
| 3 | SALEH Mohd Harrif | 70 |
| 6 | SEFA Ylber | 72 |
| 10 | KHALMURATOV Muradjan | 68 |
| 13 | SALEH Mohd Zamri | 58 |