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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ȚVETCOV Serghei | 69 |
| 2 | MCNULTY Brandon | 69 |
| 5 | VILLALOBOS Luis | 66 |
| 6 | HECHT Gage | 72 |
| 7 | NORRIS Lachlan | 67 |
| 8 | JORGENSON Matteo | 69 |
| 10 | STITES Tyler | 60 |
| 12 | CHRÉTIEN Charles-Étienne | 65 |
| 14 | ROBERGE Adam | 72 |