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 = -47.3 * weight + 4199
This means that on average for every extra kilogram weight a rider loses -47.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | KELLY Sean | 77 |
| 990 | KONEČNÝ Vlastibor | 75 |
| 990 | FIGNON Laurent | 67 |
| 990 | GAYANT Martial | 69 |
| 990 | CHEVALLIER Philippe | 69 |
| 990 | BITTINGER René | 69 |
| 990 | ZOETEMELK Joop | 68 |
| 990 | BERNAUDEAU Jean-René | 64 |
| 990 | ROCHE Stephen | 74 |