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 + 71
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | RUSSO Clément | 74 |
| 3 | GARRISON Ian | 76 |
| 7 | FLAKSIS Andžs | 79 |
| 8 | ANDERSON Edward | 70 |
| 9 | TORRES Albert | 70 |
| 10 | SWIRBUL Keegan | 65 |
| 11 | MANCEBO Francisco | 64 |
| 14 | MILÁN Diego | 67 |
| 17 | BENNETT Sean | 66 |
| 18 | STITES Tyler | 60 |
| 21 | BURKE Jack | 67 |
| 24 | JONES Chris | 64 |
| 26 | ROTH Ryan | 70 |
| 28 | MANNION Gavin | 58 |
| 30 | HECHT Gage | 72 |