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 = 0.9 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | DUNLAP Alison | 56 |
| 5 | FLORIT Jimena | 52 |
| 6 | PRYDE Susy | 57 |
| 8 | ALEXANDER Caroline | 51 |
| 13 | SYDOR Alison | 58 |
| 22 | ARNDT Judith | 59 |
| 25 | BLATTER Barbara | 54 |
| 28 | REDDEN Christina | 53 |
| 48 | SONYE Suzanne | 52 |
| 53 | ROSSNER Petra | 64 |
| 55 | KIESANOWSKI Joanne | 56 |
| 61 | MARSAL Catherine | 53 |