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 + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Nikolaev
5
66 kgKurbatov
7
73 kgKritskiy
8
81 kgZakarin
9
65 kgSolomennikov
10
72 kg
5
66 kgKurbatov
7
73 kgKritskiy
8
81 kgZakarin
9
65 kgSolomennikov
10
72 kg
Weight (KG) →
Result →
81
65
5
10
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | NIKOLAEV Sergey | 66 |
| 7 | KURBATOV Alexey | 73 |
| 8 | KRITSKIY Timofey | 81 |
| 9 | ZAKARIN Aydar | 65 |
| 10 | SOLOMENNIKOV Andrei | 72 |