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 = 2.6 * weight - 117
This means that on average for every extra kilogram weight a rider loses 2.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GILMORE Rochelle | 56 |
| 3 | WOOD Oenone | 56 |
| 9 | KIESANOWSKI Joanne | 56 |
| 19 | CARRIGAN Sara | 60 |
| 21 | SPRATT Amanda | 55 |
| 24 | LJUNGSKOG Susanne | 57 |
| 26 | VILLUMSEN Linda | 59 |
| 38 | MELCHERS Mirjam | 59 |
| 42 | CORNEO Sigrid | 54 |
| 43 | WONG Robyn | 53 |
| 51 | BATES Katherine | 69 |
| 55 | SANDIG Madeleine | 62 |
| 58 | ARNDT Judith | 59 |
| 71 | VALSECCHI Silvia | 58 |
| 74 | LINDBERG Madeleine | 63 |