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 - 18
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | HENRION Ludivine | 60 |
| 4 | WOOD Oenone | 56 |
| 5 | SCHLEICHER Regina | 58 |
| 6 | ARNDT Judith | 59 |
| 7 | KIESANOWSKI Joanne | 56 |
| 8 | MARTISOVA Julia | 64 |
| 10 | ANDRUK Alona | 56 |
| 11 | TREIER Grete | 62 |
| 13 | JOHANSSON Emma | 58 |