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 + 43
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LANG Pirmin | 73 |
| 5 | ACKERMANN Silvère | 62 |
| 12 | BEUCHAT Roger | 62 |
| 13 | CHAINEL Steve | 69 |
| 14 | PARDINI Olivier | 68 |
| 18 | HOLLENSTEIN Reto | 80 |
| 23 | PRATTE Philippe | 67 |
| 24 | DEGAND Thomas | 63 |
| 34 | BOURGEOIS Guillaume | 61 |