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 + 16
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MAGNIEN Emmanuel | 68 |
| 2 | SPRUCH Zbigniew | 68 |
| 3 | KIRSIPUU Jaan | 80 |
| 4 | BALDUCCI Gabriele | 69 |
| 5 | PLANCKAERT Jo | 70 |
| 6 | TCHMIL Andrei | 75 |
| 7 | CASSANI Enrico | 65 |
| 8 | DE JONGH Steven | 76 |
| 15 | HALGAND Patrice | 67 |