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 = 0.4 * weight - 21
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARRA Heiner Rodrigo | 51 |
| 2 | SEVILLA Óscar | 62 |
| 3 | HOEHN Alex | 63 |
| 4 | RØED Torbjørn Andre | 74 |
| 6 | ARNOPOL Richard | 61 |
| 7 | HAUG Kieran | 67 |
| 8 | MCDUNPHY Conn | 70 |
| 13 | DEUEL Drake | 70 |
| 14 | LANGE Colby | 72 |