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 | STITES Tyler | 60 |
| 2 | HECHT Gage | 72 |
| 3 | WILLIAMS Tyler | 73 |
| 4 | VARGAS Walter | 69 |
| 5 | SEVILLA Óscar | 62 |
| 7 | MCNEIL Aidan | 57 |
| 8 | BICKMORE Cade | 74 |
| 9 | ARNOPOL Richard | 61 |
| 10 | ZIMMER Matt | 68 |
| 13 | ROBERGE Adam | 72 |