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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DAL-CIN Matteo | 77 |
| 5 | GARRISON Ian | 76 |
| 6 | RUSSO Clément | 74 |
| 7 | SWIRBUL Keegan | 65 |
| 8 | ȚVETCOV Serghei | 69 |
| 10 | KUSS Sepp | 61 |
| 11 | BEYER Chad | 63 |
| 15 | BURKE Jack | 67 |
| 16 | STITES Tyler | 60 |
| 17 | JONES Chris | 64 |
| 18 | FLAKSIS Andžs | 79 |
| 21 | CATAFORD Alexander | 70 |
| 28 | MANCEBO Francisco | 64 |
| 29 | LAWLESS Chris | 72 |
| 31 | MANNION Gavin | 58 |
| 32 | PUTT Tanner | 75 |
| 35 | HECHT Gage | 72 |