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 = 0.6 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MACKAIJ Floortje | 57 |
| 2 | CONFALONIERI Maria Giulia | 56 |
| 3 | MARKUS Riejanne | 61 |
| 10 | SIGGAARD Christina | 67 |
| 11 | DEMEY Valerie | 56 |
| 12 | KUIJPERS Evy | 73 |
| 17 | STIJNS Kyara | 61 |
| 23 | MATHIESEN Pernille | 71 |
| 34 | ROBERTS Amy | 61 |