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 = 1 * weight - 43
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 5 | BELKOV Maxim | 71 |
| 11 | SOLOMENNIKOV Andrei | 72 |
| 12 | PORSEV Alexander | 80 |
| 13 | ZUBOV Matvey | 72 |
| 18 | STEVIĆ Ivan | 66 |
| 21 | SKUJIŅŠ Toms | 70 |
| 22 | VASYLYUK Andriy | 65 |
| 27 | PREVAR Oleksandr | 64 |
| 30 | MIRONOV Alexander | 68 |
| 31 | BOEV Igor | 74 |
| 36 | VOROBYEV Anton | 74 |
| 37 | SHPILEVSKY Boris | 78 |
| 42 | FLAKSIS Andžs | 79 |
| 54 | KATYRIN Roman | 65 |
| 57 | BĒCIS Armands | 82 |