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 = -0.3 * weight + 34
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KENNETT Dylan | 75 |
| 2 | BENFATTO Marco | 71 |
| 3 | VALLÉE Boris | 79 |
| 4 | PELUCCHI Matteo | 74 |
| 5 | REGUIGUI Youcef | 69 |
| 7 | RÄIM Mihkel | 69 |
| 8 | JONES Brenton | 81 |
| 9 | OTHMAN Muhamad Afiq Husaine | 57 |
| 11 | PERON Andrea | 70 |
| 12 | EINHORN Itamar | 72 |
| 14 | CIMA Damiano | 70 |
| 17 | ZAKARIA Akmal Hakim | 59 |
| 18 | PACIONI Luca | 67 |
| 19 | QUICK Blake | 77 |
| 21 | PEÑALVER Manuel | 67 |