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 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
Galimzyanov
1
75 kgKritskiy
4
81 kgKruopis
5
80 kgNikolaev
6
66 kgPorsev
7
80 kgOjavee
8
80 kgKrivtsov
9
72 kg
1
75 kgKritskiy
4
81 kgKruopis
5
80 kgNikolaev
6
66 kgPorsev
7
80 kgOjavee
8
80 kgKrivtsov
9
72 kg
Weight (KG) →
Result →
81
66
1
9
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GALIMZYANOV Denis | 75 |
| 4 | KRITSKIY Timofey | 81 |
| 5 | KRUOPIS Aidis | 80 |
| 6 | NIKOLAEV Sergey | 66 |
| 7 | PORSEV Alexander | 80 |
| 8 | OJAVEE Mart | 80 |
| 9 | KRIVTSOV Dmytro | 72 |