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 + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CIPOLLINI Mario | 77 |
| 2 | MONCASSIN Frédéric | 73 |
| 5 | CAPELLE Christophe | 73 |
| 6 | HEULOT Stéphane | 69 |
| 7 | KOERTS Jans | 78 |
| 8 | BOMANS Carlo | 74 |
| 9 | SIMON François | 70 |
| 10 | VEENSTRA Wiebren | 70 |