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 = 45.9 * weight - 3038
This means that on average for every extra kilogram weight a rider loses 45.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRESCHEL Matti | 70 |
| 2 | JURČO Matej | 69 |
| 3 | DEKKER Thomas | 69 |
| 4 | DIDIER Laurent | 68 |
| 7 | SCHLECK Andy | 68 |
| 8 | LÖFKVIST Thomas | 70 |
| 10 | GOTTFRIED Alexander | 60 |
| 13 | WYSS Danilo | 65 |
| 16 | FREI Thomas | 71 |
| 990 | VEELERS Tom | 75 |