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 + 22
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PRADO Ignacio de Jesús | 65 |
| 6 | PICCOLI James | 65 |
| 7 | CÔTÉ Pier-André | 74 |
| 8 | JAMIESON Adam | 75 |
| 9 | SWIRBUL Keegan | 65 |
| 10 | MURPHY Kyle | 67 |
| 11 | ȚVETCOV Serghei | 69 |
| 12 | ZIMMER Matt | 68 |
| 13 | ROBERGE Adam | 72 |
| 16 | MILÁN Diego | 67 |
| 19 | MILLER Barry | 54 |
| 20 | HUFFMAN Evan | 71 |
| 22 | FLAKSIS Andžs | 79 |
| 23 | LEPLINGARD Antoine | 68 |
| 26 | DE KEIJZER Gerd | 72.6 |
| 28 | ALBRECHT Jasper | 62 |
| 29 | PAVLIČ Marko | 65 |