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 + 27
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | COLES-LYSTER Maggie | 61 |
| 3 | POWLESS Shayna | 59 |
| 4 | FRANZ Heidi | 52 |
| 6 | MCMULLEN Rylee | 61 |
| 14 | CLEVENGER Erica | 57 |
| 15 | PEÑUELA Diana | 53 |
| 16 | WONG Melanie | 51 |
| 17 | POIDEVIN Sara | 56 |
| 34 | STEPHENS Lauren | 55 |
| 35 | PAYER Kira | 52 |
| 38 | NEWSOM Emily | 59 |
| 42 | MAGNER Alexis | 57 |
| 47 | THORVILSON Leah | 60 |