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 = 0.8 * weight - 40
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SWIRBUL Keegan | 65 |
| 6 | BURKE Jack | 67 |
| 7 | MILÁN Diego | 67 |
| 8 | JONES Chris | 64 |
| 10 | MANNION Gavin | 58 |
| 13 | MANCEBO Francisco | 64 |
| 14 | BENNETT Sean | 66 |
| 17 | RUSSO Clément | 74 |
| 19 | GARRISON Ian | 76 |
| 24 | FLAKSIS Andžs | 79 |