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 + 11
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 | BERGEN Sara | 64 |
| 4 | RAMIREZ Andrea | 54 |
| 5 | DOEBEL-HICKOK Krista | 51 |
| 7 | PRIETO Marcela Elizabeth | 54 |
| 8 | GANZAR Leigh Ann | 59 |
| 9 | DUEHRING Jasmin | 54 |
| 11 | WILLIAMS Lily | 66 |
| 14 | BARIL Olivia | 56 |
| 17 | NEWSOM Emily | 59 |
| 30 | LUEBKE Jennifer | 54 |
| 32 | TEDDERGREEN Starla | 51 |
| 37 | GARCÍA Danielys del Valle | 68 |
| 44 | POIDEVIN Sara | 56 |
| 49 | BEVERIDGE Allison | 62 |