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 = -0.1 * weight + 21
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | MCCABE Travis | 72 |
| 5 | ZABEL Rick | 81 |
| 7 | TANNER David | 70 |
| 8 | OWEN Logan | 67 |
| 9 | REIJNEN Kiel | 63 |
| 10 | PELLAUD Simon | 70 |
| 11 | CASTILLO Ulises Alfredo | 72 |
| 12 | CANOLA Marco | 66 |
| 13 | LEDANOIS Kévin | 67 |
| 14 | DAL-CIN Matteo | 77 |
| 16 | FILOSI Iuri | 70 |
| 17 | PUTT Tanner | 75 |
| 18 | HUFFMAN Evan | 71 |
| 19 | MURPHY Kyle | 67 |