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 = -0.3 * weight + 29
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FEDOROV Yevgeniy | 80 |
| 2 | NATAROV Yuriy | 68 |
| 3 | CHERKASOV Nikolay | 68 |
| 5 | CELANO Danilo | 65 |
| 6 | STALNOV Nikita | 63 |
| 8 | BJERKESTRAND HAUGSVÆR Sindre | 75 |
| 9 | KUZMIN Anton | 66 |
| 10 | FOMINYKH Daniil | 70 |
| 11 | PRONSKIY Vadim | 58 |
| 12 | EYOB Metkel | 61 |
| 13 | ANIOŁKOWSKI Stanisław | 68 |