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 + 44
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHPILEVSKY Boris | 78 |
| 2 | PORSEV Alexander | 80 |
| 20 | BOEV Igor | 74 |
| 21 | STEVIĆ Ivan | 66 |
| 24 | ZUBOV Matvey | 72 |
| 26 | MIRONOV Alexander | 68 |
| 27 | SOLOMENNIKOV Andrei | 72 |
| 28 | VASYLYUK Andriy | 65 |
| 34 | FIRSANOV Sergey | 58 |
| 37 | SKUJIŅŠ Toms | 70 |
| 50 | KATYRIN Roman | 65 |
| 54 | VOROBYEV Anton | 74 |
| 55 | PREVAR Oleksandr | 64 |
| 56 | BELKOV Maxim | 71 |
| 63 | FLAKSIS Andžs | 79 |
| 64 | BĒCIS Armands | 82 |