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 = -1.2 * weight + 85
This means that on average for every extra kilogram weight a rider loses -1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGALHAES Samuel | 70 |
| 2 | RODRIGUES Rui Emanuel | 69 |
| 3 | COUTINHO Leonel | 68 |
| 4 | SHALUNOV Evgeny | 70 |
| 6 | MARTINGIL César | 67 |
| 7 | STRAKHOV Dmitry | 70 |
| 9 | ANGULO Antonio | 67 |
| 10 | RIBEIRO Carlos | 66.5 |
| 11 | GUERREIRO Ruben | 65 |
| 14 | RYBALKIN Aleksey | 60 |