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 + 35
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BURCHENKOVA Alexandra | 67 |
| 2 | GILMORE Rochelle | 56 |
| 3 | BRONZINI Giorgia | 54 |
| 5 | GONZALEZ Yumari | 61 |
| 17 | PITEL Edwige | 52 |
| 26 | GUARNIER Megan | 54 |
| 41 | NUMAINVILLE Joëlle | 65 |
| 42 | CARRIGAN Sara | 60 |
| 60 | BEVERIDGE Julie | 55 |