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 = 0.6 * weight - 11
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | DUNLAP Alison | 56 |
| 7 | ARNDT Judith | 59 |
| 9 | ALEXANDER Caroline | 51 |
| 10 | SYDOR Alison | 58 |
| 11 | ROSSNER Petra | 64 |
| 12 | REDDEN Christina | 53 |
| 15 | TOMLINSON Leslie | 56 |
| 22 | PRYDE Susy | 57 |
| 34 | BLATTER Barbara | 54 |
| 41 | SONYE Suzanne | 52 |
| 44 | TEUTENBERG Ina-Yoko | 64 |
| 55 | KIESANOWSKI Joanne | 56 |
| 74 | BISARO Kiara | 59 |