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 = -38.5 * weight + 3214
This means that on average for every extra kilogram weight a rider loses -38.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KNUDSEN Knut | 79 |
| 2 | MOSER Francesco | 79 |
| 3 | DE VLAEMINCK Roger | 74 |
| 4 | SARONNI Giuseppe | 65 |
| 5 | SCHUITEN Roy | 83 |
| 990 | ALGERI Vittorio | 68 |
| 990 | MARTINELLI Giuseppe | 74 |
| 990 | ALGERI Pietro | 69 |