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 + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SCHREURS Hamish | 69 |
| 3 | STOSZ Patryk | 70 |
| 5 | ROHDE Leon | 75 |
| 6 | SCHÖNBERGER Sebastian | 64 |
| 7 | NATAROV Yuriy | 68 |
| 8 | TAMINIAUX Lionel | 74 |
| 9 | WACHTER Alexander | 72 |
| 11 | PALUTA Michał | 65 |
| 12 | CASTRIQUE Jonas | 81 |
| 14 | KNOX James | 58 |