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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAIKIN Roman | 68 |
| 2 | BUTS Vitaliy | 68 |
| 3 | LAGUTIN Sergey | 68 |
| 4 | BOEV Igor | 74 |
| 5 | ZAKARIN Ilnur | 67 |
| 10 | KRITSKIY Timofey | 81 |
| 12 | GOGL Michael | 71 |
| 13 | EVTUSHENKO Alexander | 72 |
| 15 | BAŠKA Erik | 74 |
| 19 | LAGKUTI Sergiy | 68 |
| 20 | SOLOMENNIKOV Andrei | 72 |
| 21 | ZUBOV Matvey | 72 |