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 + 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DYGERT Chloé | 66 |
| 3 | DUEHRING Jasmin | 54 |
| 4 | PITEL Edwige | 52 |
| 5 | DOEBEL-HICKOK Krista | 51 |
| 7 | BERGEN Sara | 64 |
| 8 | NEWSOM Emily | 59 |
| 9 | FRANZ Heidi | 52 |
| 11 | LUEBKE Jennifer | 54 |
| 13 | CLEVENGER Erica | 57 |
| 21 | GIGANTE Sarah | 53 |
| 27 | GANZAR Leigh Ann | 59 |
| 28 | GOLDMAN Lindsay | 64 |
| 34 | TEDDERGREEN Starla | 51 |
| 41 | COLES-LYSTER Maggie | 61 |
| 45 | POIDEVIN Sara | 56 |