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 = 0.8 * weight - 47
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BOARDMAN Chris | 70 |
| 3 | NIJDAM Jelle | 70 |
| 5 | MUSEEUW Johan | 71 |
| 6 | YATES Sean | 74 |
| 8 | ALDAG Rolf | 75 |
| 9 | RIIS Bjarne | 71 |
| 10 | OBREE Graeme | 73 |
| 12 | DURAND Jacky | 76 |
| 13 | BUGNO Gianni | 68 |
| 14 | LEYSEN Bart | 75 |
| 17 | MATHY Cédric | 85 |
| 20 | JASKUŁA Zenon | 76 |