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 = -0.7 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN LOOY Rik | 73 |
| 2 | IMPANIS Raymond | 69 |
| 5 | VAN STEENBERGEN Rik | 83 |
| 6 | DE BRUYNE Alfred | 68 |
| 11 | DERYCKE Germain | 70 |
| 14 | ANQUETIL Jacques | 70 |
| 18 | OCKERS Stan | 61 |
| 28 | CERAMI Pino | 72 |
| 38 | FORESTIER Jean | 70 |
| 48 | ERNZER Marcel | 69 |