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 = 0.5 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MEINTJES Louis | 58 |
| 2 | ARU Fabio | 63 |
| 3 | BENNETT George | 58 |
| 4 | BONGIORNO Francesco Manuel | 56 |
| 5 | GODOY Yonder | 64 |
| 6 | FERNÁNDEZ Rubén | 60 |
| 7 | TALIANI Alessio | 60 |
| 8 | OWSIAN Łukasz | 66 |
| 9 | BOSWELL Ian | 70 |
| 10 | QUINTANA Dayer | 58 |
| 11 | MOSER Moreno | 64 |
| 12 | ZILIOLI Gianfranco | 61 |
| 13 | ERSHOV Artur | 70 |
| 14 | JIM Songezo | 66 |
| 15 | HUFFMAN Evan | 71 |
| 16 | MOLINA Antonio | 57 |
| 17 | ČERNÝ Josef | 75 |
| 18 | CONTI Samuele | 68 |