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 = 0.2 * weight - 9
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FONTANELLI Fabiano | 68 |
| 2 | SMETANINE Serguei | 69 |
| 3 | AEBERSOLD Niki | 58 |
| 4 | FAGNINI Gian Matteo | 70 |
| 6 | ZABEL Erik | 69 |
| 7 | BLIJLEVENS Jeroen | 70 |
| 8 | LEONI Endrio | 74 |
| 9 | AUS Lauri | 75 |
| 10 | EDO Ángel | 64 |