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 = 1.1 * weight - 25
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | KIESANOWSKI Joanne | 56 |
| 7 | STEPHENS Lauren | 55 |
| 10 | GOLDMAN Lindsay | 64 |
| 12 | YONAMINE Eri | 51 |
| 21 | VILLUMSEN Linda | 59 |
| 26 | TEDDERGREEN Starla | 51 |
| 43 | SIMMONDS Hayley | 55 |
| 57 | SLAPPENDEL Iris | 67 |
| 61 | MILLER Amanda | 52 |
| 68 | KILBURG Mia | 64 |
| 84 | THORNBURN Christine | 56 |