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 = -1.4 * weight + 130
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KELLY Sean | 77 |
| 3 | MOSER Francesco | 79 |
| 6 | GLAUS Gilbert | 67 |
| 12 | GAVAZZI Pierino | 67 |
| 20 | ROCHE Stephen | 74 |
| 28 | LEMOND Greg | 67 |
| 36 | GAYANT Martial | 69 |
| 42 | YATES Sean | 74 |
| 58 | ARGENTIN Moreno | 66 |
| 62 | CAROLI Daniele | 77 |
| 65 | SEGERSALL Alf | 65 |