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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JULES Justin | 64 |
| 2 | BOUDAT Thomas | 70 |
| 3 | PRADES Eduard | 63 |
| 4 | PUPPIO Antonio | 75 |
| 5 | SHALUNOV Evgeny | 70 |
| 7 | GAREL Adrien | 77 |
| 8 | CHERNETSKI Sergei | 63 |
| 9 | EZQUERRA Jesús | 68 |
| 10 | PINTO Edgar | 58 |
| 11 | SEPÚLVEDA Eduardo | 59 |
| 12 | GRIGOREV Aleksandr | 73 |
| 13 | TAARAMÄE Rein | 73 |
| 14 | ROLLAND Pierre | 70 |
| 15 | RUBIO Diego | 81 |