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 + 16
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | NIERMANN Grischa | 64 |
| 5 | WADECKI Piotr | 70 |
| 7 | GLASNER Björn | 72 |
| 8 | WHITE Matthew | 72 |
| 10 | ZAMANA Cezary | 74 |
| 30 | MCGRORY Scott | 73 |
| 31 | RODRIGUEZ Fred | 68 |
| 33 | GATES Nick | 71 |
| 39 | SWEET Jay | 69 |
| 42 | HEGG Steve | 70 |