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 + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Buts
1
68 kgBouglas
5
71 kgNikolaev
7
66 kgTatarinov
11
67 kgVasylyuk
12
65 kgKrivtsov
13
72 kgRamanau
14
68 kg
1
68 kgBouglas
5
71 kgNikolaev
7
66 kgTatarinov
11
67 kgVasylyuk
12
65 kgKrivtsov
13
72 kgRamanau
14
68 kg
Weight (KG) →
Result →
72
65
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BUTS Vitaliy | 68 |
| 5 | BOUGLAS Georgios | 71 |
| 7 | NIKOLAEV Sergey | 66 |
| 11 | TATARINOV Gennadiy | 67 |
| 12 | VASYLYUK Andriy | 65 |
| 13 | KRIVTSOV Dmytro | 72 |
| 14 | RAMANAU Raman | 68 |