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 = 1.2 * weight - 40
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GILMORE Rochelle | 56 |
| 3 | HOSKING Chloe | 60 |
| 4 | DRUYTS Kelly | 62 |
| 6 | MARTIN Lucy | 57 |
| 14 | STANDER Marissa | 57 |
| 36 | NEYLAN Rachel | 52 |
| 37 | BRENNAUER Lisa | 63 |
| 45 | MARCHE Shara | 58 |
| 46 | KASPER Romy | 59 |
| 48 | SELS Loes | 65 |
| 54 | KOEDOODER Vera | 69 |
| 60 | DEIGNAN Elizabeth | 57 |
| 61 | SCHLEICHER Regina | 58 |