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 = -0.6 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ROTH Ryan | 70 |
| 3 | LOWNDES Jason | 82 |
| 4 | BOIVIN Guillaume | 78 |
| 5 | DAL-CIN Matteo | 77 |
| 7 | CALABRIA Fabio | 55 |
| 8 | PERRY Benjamin | 71 |
| 9 | MILÁN Diego | 67 |
| 20 | CATAFORD Alexander | 70 |
| 29 | CANTY Brendan | 60 |
| 34 | BURKE Jack | 67 |
| 38 | NUÑO Israel | 58 |
| 48 | MULHERN Mitchell | 75 |