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 * weight - 37
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LEMOND Greg | 67 |
| 6 | DELGADO Pedro | 64 |
| 11 | WINNEN Peter | 60 |
| 19 | DE WOLF Fons | 75 |
| 21 | BREUKINK Erik | 70 |
| 29 | HINAULT Bernard | 62 |
| 31 | ROMINGER Tony | 65 |
| 37 | KUIPER Hennie | 69 |
| 39 | DE ROOIJ Theo | 69 |
| 42 | NEVENS Jan | 58 |
| 54 | GAVAZZI Pierino | 67 |
| 55 | SERGEANT Marc | 76 |
| 65 | VAN DER POEL Adrie | 70 |