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 - 15
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WILLIAMS Tyler | 73 |
| 3 | SEVILLA Óscar | 62 |
| 4 | HECHT Gage | 72 |
| 5 | STITES Tyler | 60 |
| 9 | BICKMORE Cade | 74 |
| 10 | ARNOPOL Richard | 61 |
| 12 | CHALAPUD Robinson | 63 |
| 13 | ROBERGE Adam | 72 |
| 15 | FLANAGAN Liam | 67 |
| 16 | ZIMMER Matt | 68 |
| 18 | MCDONALD Brody | 65 |
| 20 | RØED Torbjørn Andre | 74 |
| 23 | HARTIG Evan | 77 |