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 + 28
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SWIRBUL Keegan | 65 |
| 4 | DAL-CIN Matteo | 77 |
| 6 | GARRISON Ian | 76 |
| 7 | RUSSO Clément | 74 |
| 8 | BEYER Chad | 63 |
| 9 | KUSS Sepp | 61 |
| 13 | BURKE Jack | 67 |
| 14 | STITES Tyler | 60 |
| 15 | JONES Chris | 64 |
| 19 | ȚVETCOV Serghei | 69 |
| 23 | LAWLESS Chris | 72 |
| 25 | CATAFORD Alexander | 70 |
| 26 | PUTT Tanner | 75 |
| 28 | MANNION Gavin | 58 |
| 29 | HECHT Gage | 72 |
| 30 | MANCEBO Francisco | 64 |