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 = -0.9 * weight + 76
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DAL-CIN Matteo | 77 |
| 2 | ROTH Ryan | 70 |
| 3 | BOIVIN Guillaume | 78 |
| 4 | MILÁN Diego | 67 |
| 5 | LOWNDES Jason | 82 |
| 7 | PERRY Benjamin | 71 |
| 8 | CATAFORD Alexander | 70 |
| 11 | CANTY Brendan | 60 |
| 23 | BURKE Jack | 67 |
| 30 | CALABRIA Fabio | 55 |
| 44 | NUÑO Israel | 58 |
| 49 | MULHERN Mitchell | 75 |