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 = 1.2 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PUČINSKAITĖ Edita | 54 |
| 5 | ARNDT Judith | 59 |
| 6 | LJUNGSKOG Susanne | 57 |
| 7 | VŽESNIAUSKAITĖ Modesta | 57 |
| 8 | DOPPMANN Priska | 55 |
| 10 | DAHLE Gunn-Rita | 64 |
| 12 | MELCHERS Mirjam | 59 |
| 27 | GRASSI Giuseppina | 56 |
| 35 | KIESANOWSKI Joanne | 56 |
| 36 | CARRIGAN Sara | 60 |
| 39 | VILLUMSEN Linda | 59 |
| 40 | WOOD Oenone | 56 |
| 42 | SCHLEICHER Regina | 58 |
| 44 | SANDIG Madeleine | 62 |