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 | CIMATTI Marco | 68 |
| 2 | DEBENNE René | 64 |
| 3 | LAPÉBIE Roger | 74 |
| 4 | LE GREVÈS René | 70 |
| 6 | LOWIE Jules | 68 |
| 7 | KINT Marcel | 74 |
| 8 | VAN SCHENDEL Albert | 72 |
| 9 | DEBRUYCKERE Arthur | 71 |
| 10 | VAN SCHENDEL Antoon | 82 |