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 = 0.8 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAGUTIN Sergey | 68 |
| 2 | BUTS Vitaliy | 68 |
| 3 | ZAKARIN Ilnur | 67 |
| 4 | MAIKIN Roman | 68 |
| 5 | BOEV Igor | 74 |
| 9 | BAŠKA Erik | 74 |
| 13 | GOGL Michael | 71 |
| 14 | LAGKUTI Sergiy | 68 |
| 15 | ZUBOV Matvey | 72 |