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 = 0.2 * weight + 14
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STITES Tyler | 60 |
| 2 | VOLKERS Samuel | 67 |
| 4 | PRADO Ignacio de Jesús | 65 |
| 6 | KLEIN Tobias | 66 |
| 15 | SCOTT Jared | 66 |
| 19 | DAL-CIN Matteo | 77 |
| 22 | RØED Torbjørn Andre | 74 |
| 23 | DEUEL Drake | 70 |
| 24 | PARRA Heiner Rodrigo | 51 |
| 27 | HAUG Kieran | 67 |
| 49 | ARNOPOL Richard | 61 |
| 50 | FELTON Quinn | 63 |
| 52 | MONK Cyrus | 67 |
| 53 | NARRAWAY Nicholas | 73 |