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 * weight + 6
This means that on average for every extra kilogram weight a rider loses -0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FAGNINI Gian Matteo | 70 |
| 2 | SVORADA Ján | 76 |
| 3 | CHANTEUR Pascal | 62 |
| 4 | LAFIS Michel | 78 |
| 5 | LEONI Endrio | 74 |
| 6 | ZABEL Erik | 69 |
| 7 | SMETANINE Serguei | 69 |
| 8 | ZBERG Markus | 69 |
| 9 | PETITO Roberto | 78 |
| 10 | SPRUCH Zbigniew | 68 |