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 = -2.3 * weight + 160
This means that on average for every extra kilogram weight a rider loses -2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BATES Katherine | 69 |
| 5 | ARNDT Judith | 59 |
| 8 | CARRIGAN Sara | 60 |
| 9 | MELCHERS Mirjam | 59 |
| 10 | WOOD Oenone | 56 |
| 15 | LJUNGSKOG Susanne | 57 |
| 18 | VILLUMSEN Linda | 59 |
| 19 | SANDIG Madeleine | 62 |
| 30 | KIESANOWSKI Joanne | 56 |
| 33 | SPRATT Amanda | 55 |
| 36 | VALSECCHI Silvia | 58 |
| 54 | GILMORE Rochelle | 56 |
| 58 | WONG Robyn | 53 |
| 63 | CORNEO Sigrid | 54 |
| 66 | LINDBERG Madeleine | 63 |