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 - 4
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LAWLESS Chris | 72 |
| 3 | MCCABE Travis | 72 |
| 5 | CANOLA Marco | 66 |
| 6 | RÄIM Mihkel | 69 |
| 7 | ELMIGER Martin | 73 |
| 8 | BOIVIN Guillaume | 78 |
| 9 | ROSSKOPF Joey | 74 |
| 10 | WACKERMANN Luca | 68 |
| 11 | ANDREETTA Simone | 69 |
| 12 | BENITO Miguel Ángel | 67 |
| 14 | SIMION Paolo | 79 |
| 15 | CASTILLO Ulises Alfredo | 72 |