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 | VAINŠTEINS Romāns | 72 |
| 2 | BALDUCCI Gabriele | 69 |
| 3 | MILLAR David | 79 |
| 4 | CAMENZIND Oscar | 62 |
| 5 | VALOTI Paolo | 64 |
| 8 | GIANETTI Mauro | 62 |
| 9 | SHEFER Alexandre | 68 |
| 12 | STRAUSS Marcel | 69 |
| 13 | ELMIGER Martin | 73 |