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 = -47.5 * weight + 3915
This means that on average for every extra kilogram weight a rider loses -47.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTINELLO Silvio | 71 |
| 2 | BAFFI Adriano | 70 |
| 3 | SVORADA Ján | 76 |
| 6 | SØRENSEN Rolf | 70 |
| 990 | HODGE Stephen | 74 |
| 990 | CHIAPPUCCI Claudio | 67 |
| 990 | BUGNO Gianni | 68 |
| 990 | LELLI Massimiliano | 69 |
| 990 | BRUYNEEL Johan | 71 |
| 990 | NEVENS Jan | 58 |
| 990 | FIGNON Laurent | 67 |