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 = 1.1 * weight - 54
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FIRSANOV Sergey | 58 |
| 5 | BELKOV Maxim | 71 |
| 14 | SOLOMENNIKOV Andrei | 72 |
| 15 | ZUBOV Matvey | 72 |
| 17 | PORSEV Alexander | 80 |
| 19 | STEVIĆ Ivan | 66 |
| 22 | SKUJIŅŠ Toms | 70 |
| 24 | VASYLYUK Andriy | 65 |
| 27 | PREVAR Oleksandr | 64 |
| 30 | BOEV Igor | 74 |
| 34 | SHPILEVSKY Boris | 78 |
| 36 | MIRONOV Alexander | 68 |
| 42 | VOROBYEV Anton | 74 |
| 44 | FLAKSIS Andžs | 79 |
| 46 | KATYRIN Roman | 65 |
| 63 | BĒCIS Armands | 82 |