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 = 0.1 * weight + 4
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MUSEEUW Johan | 71 |
| 2 | BRUYNEEL Johan | 71 |
| 3 | ROMINGER Tony | 65 |
| 5 | RIIS Bjarne | 71 |
| 6 | ALDAG Rolf | 75 |
| 9 | MERCKX Axel | 77 |
| 12 | YATES Sean | 74 |
| 13 | BERZIN Evgeni | 64 |
| 14 | MATTAN Nico | 69 |
| 15 | STREEL Marc | 69 |
| 16 | KNAVEN Servais | 68 |
| 18 | MOREAU Francis | 77 |