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 = 0.4 * weight - 25
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LOUVIOT Raymond | 62 |
| 2 | MITHOUARD Fernand | 74 |
| 3 | MARCAILLOU Sylvain | 70 |
| 4 | MAES Romain | 68 |
| 5 | LE GREVÈS René | 70 |
| 6 | DIGNEF Antoon | 70 |
| 7 | LESUEUR Raoul | 74 |
| 9 | DELOOR Gustaaf | 79 |
| 10 | DELOOR Alfons | 72 |