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 = 1.3 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SARONNI Giuseppe | 65 |
| 2 | DE ROOIJ Theo | 69 |
| 14 | WINNEN Peter | 60 |
| 18 | DELGADO Pedro | 64 |
| 19 | DEMIERRE Serge | 70 |
| 33 | GAVAZZI Pierino | 67 |
| 34 | THALER Klaus-Peter | 60 |
| 35 | NEVENS Jan | 58 |
| 50 | GLAUS Gilbert | 67 |
| 53 | VAN VLIET Leo | 65 |
| 56 | DIGERUD Geir | 77 |
| 59 | VANDERAERDEN Eric | 74 |