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 = 1.8 * weight - 92
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FIRSANOV Sergey | 58 |
| 5 | BOEV Igor | 74 |
| 8 | SKUJIŅŠ Toms | 70 |
| 9 | STEVIĆ Ivan | 66 |
| 13 | VASYLYUK Andriy | 65 |
| 23 | ZUBOV Matvey | 72 |
| 28 | SOLOMENNIKOV Andrei | 72 |
| 29 | BELKOV Maxim | 71 |
| 30 | PORSEV Alexander | 80 |
| 31 | MIRONOV Alexander | 68 |
| 35 | PREVAR Oleksandr | 64 |
| 43 | VOROBYEV Anton | 74 |
| 55 | FLAKSIS Andžs | 79 |
| 68 | BĒCIS Armands | 82 |
| 74 | SHPILEVSKY Boris | 78 |
| 77 | KATYRIN Roman | 65 |