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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | MAGNER Alexis | 57 |
| 3 | RYAN Kendall | 59 |
| 4 | HALL Katie | 52 |
| 5 | SIERRA Arlenis | 57 |
| 7 | EDMONDSON Annette | 66 |
| 10 | VALENTE Jennifer | 73 |
| 12 | WILLIAMS Lily | 66 |
| 15 | RODRIGUEZ Carolina | 58 |
| 16 | POIDEVIN Sara | 56 |
| 20 | THOMAS Leah | 58 |
| 23 | LABOUS Juliette | 54 |
| 24 | BERGEN Sara | 64 |
| 27 | PRIETO Marcela Elizabeth | 54 |
| 28 | ERATH Tanja | 62 |