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 + 23
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DYGERT Chloé | 66 |
| 3 | LUEBKE Jennifer | 54 |
| 4 | DUEHRING Jasmin | 54 |
| 5 | NEWSOM Emily | 59 |
| 6 | PITEL Edwige | 52 |
| 7 | BERGEN Sara | 64 |
| 10 | CLEVENGER Erica | 57 |
| 11 | GIGANTE Sarah | 53 |
| 14 | DOEBEL-HICKOK Krista | 51 |
| 17 | FRANZ Heidi | 52 |
| 26 | GOLDMAN Lindsay | 64 |
| 36 | COLES-LYSTER Maggie | 61 |
| 38 | TEDDERGREEN Starla | 51 |
| 39 | GANZAR Leigh Ann | 59 |
| 47 | POIDEVIN Sara | 56 |