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 = -0.1 * weight + 9
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DIGNEF Antoon | 70 |
| 2 | MAES Romain | 68 |
| 3 | GIANELLO Dante | 57 |
| 3 | SPEICHER Georges | 73 |
| 5 | LEVEL Léon | 64 |
| 6 | VIETTO René | 67 |
| 7 | FAURE Benoît | 58 |
| 8 | LOWIE Jules | 68 |
| 9 | LESUEUR Raoul | 74 |
| 10 | LOUVIOT Raymond | 62 |