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 = 26.1 * weight - 1251
This means that on average for every extra kilogram weight a rider loses 26.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PAGNIN Roberto | 74 |
| 3 | SØRENSEN Rolf | 70 |
| 5 | ZOETEMELK Joop | 68 |
| 6 | SARONNI Giuseppe | 65 |
| 990 | DELGADO Pedro | 64 |
| 990 | VANDERAERDEN Eric | 74 |
| 990 | FIGNON Laurent | 67 |
| 990 | PRIM Tommy | 76 |
| 990 | IMBODEN Heinz | 70 |
| 990 | MOSER Francesco | 79 |