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 + 20
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZIJLAARD-VAN MOORSEL Leontien | 62 |
| 3 | CLIGNET Marion | 60 |
| 8 | PURVIS Marie | 52 |
| 9 | DUNLAP Alison | 56 |
| 14 | ZAGORSKA Aiga | 56 |
| 15 | WESTMAN Elisabeth | 57 |
| 16 | STAHURSKAYA Zinaida | 69 |
| 17 | MARSAL Catherine | 53 |
| 19 | BONANOMI Roberta | 60 |
| 20 | HUGHES Clara | 72 |
| 23 | TOMLINSON Leslie | 56 |
| 24 | HOHLFELD Vera | 57 |
| 28 | VAN ROOY-VINK Elsbeth | 57 |
| 30 | HÖLJER Marie | 56 |