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 | DEHAES Kenny | 73 |
| 2 | CLARKE Hilton | 70 |
| 3 | VAN HUMMEL Kenny | 64 |
| 4 | LISABETH Kenny | 75 |
| 5 | BALČIŪNAS Linas | 90 |
| 6 | WYNANTS Maarten | 74 |
| 8 | GREIPEL André | 80 |
| 12 | SCHETS Steve | 74 |
| 18 | WAGNER Robert | 75 |
| 19 | NEIRYNCK Stijn | 78 |