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 - 8
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | AGUIRRE Hernán Ricardo | 55 |
| 3 | CHALAPUD Robinson | 63 |
| 4 | MONSALVE Yonathan | 62 |
| 6 | MOLENAAR Alex | 63 |
| 7 | SILVA Joaquim | 66 |
| 8 | SAMOILAU Branislau | 77 |
| 10 | FEDOSSEYEV Artur | 61.5 |
| 13 | MONK Cyrus | 67 |
| 14 | QUINTERO Carlos | 63 |
| 15 | DYBALL Benjamin | 63 |
| 16 | SANTORO Antonio | 53 |
| 17 | GATE Aaron | 71 |
| 18 | DUARTE Fabio | 55 |
| 19 | SÁNCHEZ Ángel | 74 |
| 21 | GRABIS Mateusz | 75 |
| 22 | BOUGLAS Georgios | 71 |