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 + 7
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Galimzyanov
1
75 kgKrivtsov
2
72 kgKritskiy
3
81 kgKruopis
4
80 kgMironov
5
68 kg
1
75 kgKrivtsov
2
72 kgKritskiy
3
81 kgKruopis
4
80 kgMironov
5
68 kg
Weight (KG) →
Result →
81
68
1
5
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALIMZYANOV Denis | 75 |
| 2 | KRIVTSOV Dmytro | 72 |
| 3 | KRITSKIY Timofey | 81 |
| 4 | KRUOPIS Aidis | 80 |
| 5 | MIRONOV Alexander | 68 |