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 = 2.4 * weight - 110
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | MELCHERS Mirjam | 59 |
| 5 | CARRIGAN Sara | 60 |
| 7 | REEKIE-MAY Roz | 53 |
| 11 | WOOD Oenone | 56 |
| 13 | ARNDT Judith | 59 |
| 20 | GRIGSON Mary | 53 |
| 24 | DOPPMANN Priska | 55 |
| 27 | CORNEO Sigrid | 54 |
| 31 | GILMORE Rochelle | 56 |
| 40 | ARMSTRONG Kristin | 58 |
| 50 | LINDBERG Madeleine | 63 |
| 52 | ROSSNER Petra | 64 |
| 65 | SAARELAINEN Sari | 58 |