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 - 8
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CRUZ Antonio | 66 |
| 3 | PINEAU Jérôme | 65 |
| 4 | BAGUET Serge | 67 |
| 5 | EDALEINE Christophe | 62 |
| 6 | HOSTE Leif | 80 |
| 7 | TALABARDON Yannick | 67 |
| 8 | CHARTEAU Anthony | 67 |
| 9 | MIKHAYLOV Gennady | 74 |
| 10 | DEKKER Thomas | 69 |