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 = 0.7 * weight - 35
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAIKIN Roman | 68 |
| 2 | BUTS Vitaliy | 68 |
| 3 | LAGUTIN Sergey | 68 |
| 4 | GOGL Michael | 71 |
| 5 | ZAKARIN Ilnur | 67 |
| 8 | BOEV Igor | 74 |
| 12 | SOLOMENNIKOV Andrei | 72 |
| 15 | KRITSKIY Timofey | 81 |
| 16 | EVTUSHENKO Alexander | 72 |
| 19 | BAŠKA Erik | 74 |
| 25 | LAGKUTI Sergiy | 68 |
| 26 | ZUBOV Matvey | 72 |
| 29 | AHIYEVICH Aleh | 70 |