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 = 23.8 * weight - 1093
This means that on average for every extra kilogram weight a rider loses 23.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KARSTENS Gerben | 74 |
| 5 | BOURREAU Bernard | 63 |
| 8 | RAAS Jan | 72 |
| 10 | OVION Régis | 64 |
| 14 | MAERTENS Freddy | 65 |
| 15 | HINAULT Bernard | 62 |
| 990 | KUIPER Hennie | 69 |
| 990 | ROSIERS Roger | 78 |
| 990 | POULIDOR Raymond | 71 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | MARTIN Raymond | 62 |
| 990 | SCHUITEN Roy | 83 |
| 990 | POLLENTIER Michel | 62 |
| 990 | DEMEYER Marc | 85 |