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 = 0.7 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LJUNGSKOG Susanne | 57 |
| 3 | MELCHERS Mirjam | 59 |
| 5 | ARNDT Judith | 59 |
| 6 | DOPPMANN Priska | 55 |
| 7 | KUPFERNAGEL Hanka | 68 |
| 11 | WOOD Oenone | 56 |
| 14 | REEKIE-MAY Roz | 53 |
| 17 | MARSAL Catherine | 53 |
| 52 | GILMORE Rochelle | 56 |
| 55 | ROSSNER Petra | 64 |
| 56 | VAN ROOY-VINK Elsbeth | 57 |
| 58 | CARRIGAN Sara | 60 |