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 = 1.6 * weight - 50
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUNLAP Alison | 56 |
| 11 | PRYDE Susy | 57 |
| 20 | ARNDT Judith | 59 |
| 24 | SONYE Suzanne | 52 |
| 25 | FLORIT Jimena | 52 |
| 39 | REDDEN Christina | 53 |
| 41 | SYDOR Alison | 58 |
| 43 | ALEXANDER Caroline | 51 |
| 49 | MARSAL Catherine | 53 |
| 54 | ROSSNER Petra | 64 |
| 61 | BLATTER Barbara | 54 |
| 76 | HAMMER Sarah | 65 |
| 94 | KIESANOWSKI Joanne | 56 |