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 = 0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DUNLAP Alison | 56 |
| 3 | HOBSON Leigh | 55 |
| 4 | ALEXANDER Caroline | 51 |
| 8 | DAUCOURT Chantal | 60 |
| 11 | HUGHES Clara | 72 |
| 12 | SYDOR Alison | 58 |
| 14 | BLATTER Barbara | 54 |
| 16 | FLORIT Jimena | 52 |
| 17 | REDDEN Christina | 53 |
| 20 | MATTHES Ruthie | 58 |
| 22 | GRIGSON Mary | 53 |
| 32 | TOMLINSON Leslie | 56 |
| 33 | HÖLJER Marie | 56 |
| 36 | TROMBLEY Ann | 56 |
| 39 | SONYE Suzanne | 52 |
| 49 | EPIFANOVA Alla | 53 |
| 56 | ROSSNER Petra | 64 |