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 + 10
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ROMINGER Tony | 65 |
| 2 | SØRENSEN Rolf | 70 |
| 3 | CIPOLLINI Mario | 77 |
| 4 | CHIAPPUCCI Claudio | 67 |
| 5 | CASAGRANDE Francesco | 64 |
| 6 | PETITO Roberto | 78 |
| 7 | JONKER Patrick | 69 |
| 8 | BERZIN Evgeni | 64 |
| 9 | RICHARD Pascal | 67 |