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 = -0.1 * weight + 14
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | IGNATIEV Mikhail | 67 |
| 2 | KARPETS Vladimir | 79 |
| 3 | SOKOLOV Evgeny | 70 |
| 4 | OVECHKIN Artem | 61 |
| 6 | SHILOV Sergey | 67 |
| 7 | RYBAKOV Alexander | 65 |
| 8 | KRITSKIY Timofey | 81 |
| 9 | GUSEV Vladimir | 67 |
| 16 | KRASNOV Leonid | 65 |
| 17 | KOCHETKOV Pavel | 70 |