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 - 2
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BENOOT Tiesj | 72 |
| 2 | SÁEZ Héctor | 75 |
| 3 | ETXEBERRIA Víctor | 61 |
| 4 | HENAO Sebastián | 57 |
| 5 | MAMYKIN Matvey | 62 |
| 6 | TRUEBA Alvaro | 65 |
| 7 | GROENEWEGEN Dylan | 70 |
| 8 | BAUHAUS Phil | 75 |
| 9 | LASTRA Jonathan | 64 |
| 10 | PLANET Charles | 71 |
| 11 | RODRIGUES João | 60 |
| 12 | KOCH Jonas | 75 |
| 13 | NYCH Artem | 74 |